This paper is in the following e-collection/theme issue:

Artificial Intelligence (1186) Knowledge Translation and Implementation Science (372) Machine Learning (1370)

Published on in Vol 21, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13659, first published .
Artificial Intelligence and the Implementation Challenge

Artificial Intelligence and the Implementation Challenge

Artificial Intelligence and the Implementation Challenge

Authors of this article:

James Shaw1, 2 Author Orcid Image ;   Frank Rudzicz3 Author Orcid Image ;   Trevor Jamieson1, 4 Author Orcid Image ;   Avi Goldfarb5 Author Orcid Image
Article Authors Cited by (176) Tweetations (31) Metrics

Journals

  1. Goulooze S, Zwep L, Vogt J, Krekels E, Hankemeier T, van den Anker J, Knibbe C. Beyond the Randomized Clinical Trial: Innovative Data Science to Close the Pediatric Evidence Gap. Clinical Pharmacology & Therapeutics 2020;107(4):786 View
  2. Lee T, Shah N, Haack A, Baxter S. Clinical Implementation of Predictive Models Embedded within Electronic Health Record Systems: A Systematic Review. Informatics 2020;7(3):25 View
  3. Powell J. Trust Me, I’m a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test. Journal of Medical Internet Research 2019;21(10):e16222 View
  4. Adly A, Adly A, Adly M. Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review. Journal of Medical Internet Research 2020;22(8):e19104 View
  5. Xiang Y, Zhao L, Liu Z, Wu X, Chen J, Long E, Lin D, Zhu Y, Chen C, Lin Z, Lin H. Implementation of artificial intelligence in medicine: Status analysis and development suggestions. Artificial Intelligence in Medicine 2020;102:101780 View
  6. Alami H, Lehoux P, Auclair Y, de Guise M, Gagnon M, Shaw J, Roy D, Fleet R, Ag Ahmed M, Fortin J. Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity. Journal of Medical Internet Research 2020;22(7):e17707 View
  7. Javaid M, Haleem A, Khan I, Vaishya R, Vaish A. Extending capabilities of artificial intelligence for decision-making and healthcare education. Apollo Medicine 2020;17(1):53 View
  8. Abd-Alrazaq A, Alajlani M, Alhuwail D, Schneider J, Al-Kuwari S, Shah Z, Hamdi M, Househ M. Artificial Intelligence in the Fight Against COVID-19: Scoping Review. Journal of Medical Internet Research 2020;22(12):e20756 View
  9. . A Path for Translation of Machine Learning Products into Healthcare Delivery. EMJ Innovations 2020 View
  10. Assadullah M. Barriers to Artificial Intelligence Adoption in Healthcare Management: A Systematic Review. SSRN Electronic Journal 2019 View
  11. Sendak M, Ratliff W, Sarro D, Alderton E, Futoma J, Gao M, Nichols M, Revoir M, Yashar F, Miller C, Kester K, Sandhu S, Corey K, Brajer N, Tan C, Lin A, Brown T, Engelbosch S, Anstrom K, Elish M, Heller K, Donohoe R, Theiling J, Poon E, Balu S, Bedoya A, O'Brien C. Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study. JMIR Medical Informatics 2020;8(7):e15182 View
  12. Morley J, Floridi L, Goldacre B. The poor performance of apps assessing skin cancer risk. BMJ 2020:m428 View
  13. Bukowski M, Farkas R, Beyan O, Moll L, Hahn H, Kiessling F, Schmitz-Rode T. Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?. European Radiology 2020;30(10):5510 View
  14. Sisk B, Antes A, Burrous S, DuBois J. Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare. Children 2020;7(9):145 View
  15. Baxter S, Bass J, Sitapati A. Barriers to Implementing an Artificial Intelligence Model for Unplanned Readmissions. ACI Open 2020;04(02):e108 View
  16. Chou M, Illa-Bochaca I, Minxi B, Darvishian F, Johannet P, Moran U, Shapiro R, Berman R, Osman I, Jour G, Zhong H. Optimization of an automated tumor-infiltrating lymphocyte algorithm for improved prognostication in primary melanoma. Modern Pathology 2021;34(3):562 View
  17. Shaw J, Sethi N, Block B. Five things every clinician should know about AI ethics in intensive care. Intensive Care Medicine 2021;47(2):157 View
  18. Baxter S, Saseendrakumar B, Paul P, Kim J, Bonomi L, Kuo T, Loperena R, Ratsimbazafy F, Boerwinkle E, Cicek M, Clark C, Cohn E, Gebo K, Mayo K, Mockrin S, Schully S, Ramirez A, Ohno-Machado L. Predictive Analytics for Glaucoma Using Data From the All of Us Research Program. American Journal of Ophthalmology 2021;227:74 View
  19. Goel P, Jain P, Pasman H, Pistikopoulos E, Datta A. Integration of data analytics with cloud services for safer process systems, application examples and implementation challenges. Journal of Loss Prevention in the Process Industries 2020;68:104316 View
  20. Begley K, Begley C, Smith V. Shared decision‐making and maternity care in the deep learning age: Acknowledging and overcoming inherited defeaters. Journal of Evaluation in Clinical Practice 2021;27(3):497 View
  21. Alexander J, Romito B, Çobanoğlu M. The present and future role of artificial intelligence and machine learning in anesthesiology. International Anesthesiology Clinics 2020;58(4):7 View
  22. Ilan Y. Second-Generation Digital Health Platforms: Placing the Patient at the Center and Focusing on Clinical Outcomes. Frontiers in Digital Health 2020;2 View
  23. Jadczyk T, Wojakowski W, Tendera M, Henry T, Egnaczyk G, Shreenivas S. Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology. Journal of Medical Internet Research 2021;23(5):e22959 View
  24. Tong H, Quiroz J, Kocaballi A, Fat S, Dao K, Gehringer H, Chow C, Laranjo L. Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression. Preventive Medicine 2021;148:106532 View
  25. Maassen O, Fritsch S, Palm J, Deffge S, Kunze J, Marx G, Riedel M, Schuppert A, Bickenbach J. Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey. Journal of Medical Internet Research 2021;23(3):e26646 View
  26. Yin J, Ngiam K, Teo H. Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review. Journal of Medical Internet Research 2021;23(4):e25759 View
  27. Bhatt S, Cohon A, Rose J, Majerczyk N, Cozzi B, Crenshaw D, Myers G. Interpretable Machine Learning Models for Clinical Decision-Making in a High-Need, Value-Based Primary Care Setting. NEJM Catalyst 2021;2(4) View
  28. Al Badi F, Alhosani K, Jabeen F, Stachowicz-Stanusch A, Shehzad N, AMANN W. Challenges of AI Adoption in the UAE Healthcare. Vision: The Journal of Business Perspective 2022;26(2):193 View
  29. Bates D, Levine D, Syrowatka A, Kuznetsova M, Craig K, Rui A, Jackson G, Rhee K. The potential of artificial intelligence to improve patient safety: a scoping review. npj Digital Medicine 2021;4(1) View
  30. Korinek A, Stiglitz J. Covid-19 driven advances in automation and artificial intelligence risk exacerbating economic inequality. BMJ 2021:n367 View
  31. Shung D, Sung J. Challenges of developing artificial intelligence‐assisted tools for clinical medicine. Journal of Gastroenterology and Hepatology 2021;36(2):295 View
  32. Kordzadeh N, Ghasemaghaei M. Algorithmic bias: review, synthesis, and future research directions. European Journal of Information Systems 2022;31(3):388 View
  33. Ahn J, Connell A, Simonetto D, Hughes C, Shah V. Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases. Hepatology 2021;73(6):2546 View
  34. Antes A, Burrous S, Sisk B, Schuelke M, Keune J, DuBois J. Exploring perceptions of healthcare technologies enabled by artificial intelligence: an online, scenario-based survey. BMC Medical Informatics and Decision Making 2021;21(1) View
  35. Alzubaidi M, Zubaydi H, Bin-Salem A, Abd-Alrazaq A, Ahmed A, Househ M. Role of deep learning in early detection of COVID-19: Scoping review. Computer Methods and Programs in Biomedicine Update 2021;1:100025 View
  36. Baxter S, Lee A. Gaps in standards for integrating artificial intelligence technologies into ophthalmic practice. Current Opinion in Ophthalmology 2021;32(5):431 View
  37. d'Elia A, Gabbay M, Rodgers S, Kierans C, Jones E, Durrani I, Thomas A, Frith L. Artificial intelligence and health inequities in primary care: a systematic scoping review and framework. Family Medicine and Community Health 2022;10(Suppl 1):e001670 View
  38. Torrent-Sellens J, Jiménez-Zarco A, Saigí-Rubió F. Do People Trust in Robot-Assisted Surgery? Evidence from Europe. International Journal of Environmental Research and Public Health 2021;18(23):12519 View
  39. Saini F, Sharma T, Madan S. A Comparative Analysis of Expert Opinions on Artificial Intelligence: Evolution, Applications, and Its Future. Advanced Journal of Graduate Research 2021;11(1):10 View
  40. Pumplun L, Fecho M, Wahl N, Peters F, Buxmann P. Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: Qualitative Interview Study. Journal of Medical Internet Research 2021;23(10):e29301 View
  41. Åström J, Reim W, Parida V. Value creation and value capture for AI business model innovation: a three-phase process framework. Review of Managerial Science 2022;16(7):2111 View
  42. Khanijahani A, Iezadi S, Dudley S, Goettler M, Kroetsch P, Wise J. Organizational, professional, and patient characteristics associated with artificial intelligence adoption in healthcare: A systematic review. Health Policy and Technology 2022;11(1):100602 View
  43. Wang C, Zhang W, Wang S. An asymptotically optimal public parking lot location algorithm based on intuitive reasoning. Intelligent and Converged Networks 2022;3(3):260 View
  44. Bin K, Melo A, da Rocha J, de Almeida R, Cobello Junior V, Maia F, de Faria E, Pereira A, Battistella L, Ono S. The Impact of Artificial Intelligence on Waiting Time for Medical Care in an Urgent Care Service for COVID-19: Single-Center Prospective Study. JMIR Formative Research 2022;6(2):e29012 View
  45. Chen S, Novoa R. Artificial intelligence for dermatopathology: Current trends and the road ahead. Seminars in Diagnostic Pathology 2022;39(4):298 View
  46. Gama F, Tyskbo D, Nygren J, Barlow J, Reed J, Svedberg P. Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review. Journal of Medical Internet Research 2022;24(1):e32215 View
  47. Scott I, Carter S, Coiera E. Exploring stakeholder attitudes towards AI in clinical practice. BMJ Health & Care Informatics 2021;28(1):e100450 View
  48. Nilsen P, Svedberg P, Nygren J, Frideros M, Johansson J, Schueller S. Accelerating the impact of artificial intelligence in mental healthcare through implementation science. Implementation Research and Practice 2022;3:263348952211120 View
  49. Cornelissen L, Egher C, van Beek V, Williamson L, Hommes D. The Drivers of Acceptance of Artificial Intelligence–Powered Care Pathways Among Medical Professionals: Web-Based Survey Study. JMIR Formative Research 2022;6(6):e33368 View
  50. Kyung N, Kwon H. Rationally trust, but emotionally? The roles of cognitive and affective trust in laypeople's acceptance of AI for preventive care operations. Production and Operations Management 2022 View
  51. Etchebehere E, Andrade R, Camacho M, Lima M, Brink A, Cerci J, Nadel H, Bal C, Rangarajan V, Pfluger T, Kagna O, Alonso O, Begum F, Mir K, Magboo V, Menezes L, Paez D, Pascual T. Validation of Convolutional Neural Networks for Fast Determination of Whole-Body Metabolic Tumor Burden in Pediatric Lymphoma. Journal of Nuclear Medicine Technology 2022;50(3):256 View
  52. King H, Wright J, Treanor D, Williams B, Randell R. What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation. Journal of Medical Internet Research 2023;25:e38039 View
  53. Lu S, Swisher C, Chung C, Jaffray D, Sidey-Gibbons C. On the importance of interpretable machine learning predictions to inform clinical decision making in oncology. Frontiers in Oncology 2023;13 View
  54. Werder K, Ramesh B, Zhang R. Establishing Data Provenance for Responsible Artificial Intelligence Systems. ACM Transactions on Management Information Systems 2022;13(2):1 View
  55. Tricco A, Hezam A, Parker A, Nincic V, Harris C, Fennelly O, Thomas S, Ghassemi M, McGowan J, Paprica P, Straus S. Implemented machine learning tools to inform decision-making for patient care in hospital settings: a scoping review. BMJ Open 2023;13(2):e065845 View
  56. s K. Artificial Intelligence on Medical Fields. Data Analytics and Artificial Intelligence 2023;3(2):113 View
  57. Nickel P. Trust in medical artificial intelligence: a discretionary account. Ethics and Information Technology 2022;24(1) View
  58. Hehakaya C, Sharma A, van der Voort Van Zijp J, Grobbee D, Verkooijen H, Izaguirre E, Moors E. Implementation of Magnetic Resonance Imaging-Guided Radiation Therapy in Routine Care: Opportunities and Challenges in the United States. Advances in Radiation Oncology 2022;7(5):100953 View
  59. Joshi M, Mecklai K, Rozenblum R, Samal L. Implementation approaches and barriers for rule-based and machine learning-based sepsis risk prediction tools: a qualitative study. JAMIA Open 2022;5(2) View
  60. Jaiswal A, Yigzaw K, Ozturk P. F-CBR: An Architecture for Federated Case-Based Reasoning. IEEE Access 2022;10:75458 View
  61. Weinert L, Klass M, Schneider G, Heinze O. Exploring Stakeholder Requirements to Enable the Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Protocol for a Multistep Mixed Methods Study. JMIR Research Protocols 2022;11(12):e42208 View
  62. Shaw J, Donia J. The Sociotechnical Ethics of Digital Health: A Critique and Extension of Approaches From Bioethics. Frontiers in Digital Health 2021;3 View
  63. Kaul R, Ossai C, Forkan A, Jayaraman P, Zelcer J, Vaughan S, Wickramasinghe N. The role ofAIfor developing digital twins in healthcare: The case of cancer care. WIREs Data Mining and Knowledge Discovery 2023;13(1) View
  64. Lee Y, Lee Y. Designing AI Agent’s Social Interaction Quality in AI-based Fitness Services as a Mediator. Archives of Design Research 2022;35(3):145 View
  65. Abbasgholizadeh Rahimi S, Légaré F, Sharma G, Archambault P, Zomahoun H, Chandavong S, Rheault N, T Wong S, Langlois L, Couturier Y, Salmeron J, Gagnon M, Légaré J. Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal. Journal of Medical Internet Research 2021;23(9):e29839 View
  66. Penrice D, Rattan P, Simonetto D. Artificial Intelligence and the Future of Gastroenterology and Hepatology. Gastro Hep Advances 2022;1(4):581 View
  67. Shaw J. Emerging Paradigms for Ethical Review of Research Using Artificial Intelligence. The American Journal of Bioethics 2022;22(5):42 View
  68. Costa-Climent R, Haftor D, Staniewski M. Using machine learning to create and capture value in the business models of small and medium-sized enterprises. International Journal of Information Management 2023;73:102637 View
  69. Siala H, Wang Y. SHIFTing artificial intelligence to be responsible in healthcare: A systematic review. Social Science & Medicine 2022;296:114782 View
  70. Брызгалина Е. DIGITAL BIOETHICS AS DIGITAL HEALTH ETHICS. ΠΡΑΞΗMΑ. Journal of Visual Semiotics 2023;(1(35)):9 View
  71. Bélisle-Pipon J, Couture V, Roy M, Ganache I, Goetghebeur M, Cohen I. What Makes Artificial Intelligence Exceptional in Health Technology Assessment?. Frontiers in Artificial Intelligence 2021;4 View
  72. Nedadur R, Wang B, Tsang W. Artificial intelligence for the echocardiographic assessment of valvular heart disease. Heart 2022;108(20):1592 View
  73. Petersson L, Larsson I, Nygren J, Nilsen P, Neher M, Reed J, Tyskbo D, Svedberg P. Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden. BMC Health Services Research 2022;22(1) View
  74. Weinert L, Klass M, Schneider G, Heinze O. Exploring Stakeholder Requirements to Enable Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Results of a Multistep Mixed Methods Study. JMIR Formative Research 2023;7:e43958 View
  75. Costa-Climent R. The Role of Machine Learning in Creating and Capturing Value. International Journal of Software Science and Computational Intelligence 2022;14(1):1 View
  76. Wang Y, Zhang N, Zhao X. Understanding the Determinants in the Different Government AI Adoption Stages: Evidence of Local Government Chatbots in China. Social Science Computer Review 2022;40(2):534 View
  77. Li R, Li H. Artificial intelligence will be a milestone in medical imaging development. Radiology of Infectious Diseases 2022;9(3):96 View
  78. Shan Y, Ji M, Xie W, Lam K, Chow C. Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis. JMIR Human Factors 2022;9(4):e38799 View
  79. Svedberg P, Reed J, Nilsen P, Barlow J, Macrae C, Nygren J. Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program. JMIR Research Protocols 2022;11(3):e34920 View
  80. Kossowsky H, Nisky I. Predicting the Timing of Camera Movements From the Kinematics of Instruments in Robotic-Assisted Surgery Using Artificial Neural Networks. IEEE Transactions on Medical Robotics and Bionics 2022;4(2):391 View
  81. Wu Y, Wang H, Zhu J. Influence of Reclaimed Water Quality on Infiltration Characteristics of Typical Subtropical Zone Soils: A Case Study in South China. Sustainability 2022;14(8):4390 View
  82. Joshi S, Sharma M, Das R, Rosak-Szyrocka J, Żywiołek J, Muduli K, Prasad M. Modeling Conceptual Framework for Implementing Barriers of AI in Public Healthcare for Improving Operational Excellence: Experiences from Developing Countries. Sustainability 2022;14(18):11698 View
  83. Nilsen P, Reed J, Nair M, Savage C, Macrae C, Barlow J, Svedberg P, Larsson I, Lundgren L, Nygren J. Realizing the potential of artificial intelligence in healthcare: Learning from intervention, innovation, implementation and improvement sciences. Frontiers in Health Services 2022;2 View
  84. Harish V, Samson T, Diemert L, Tuite A, Mamdani M, Khan K, McGahan A, Shaw J, Das S, Rosella L, Ansermino J. Governing partnerships with technology companies as part of the COVID-19 response in Canada: A qualitative case study. PLOS Digital Health 2022;1(12):e0000164 View
  85. Bélisle-Pipon J, David P. Digital Therapies (DTx) as New Tools within Physicians’ Therapeutic Arsenal: Key Observations to Support their Effective and Responsible Development and Use. Pharmaceutical Medicine 2023;37(2):121 View
  86. Farina E, Nabhen J, Dacoregio M, Batalini F, Moraes F. An Overview of Artificial Intelligence in Oncology. Future Science OA 2022;8(4) View
  87. Liu P, Inman J, Li B, Wong C, Yang N. Consumer Health in the Digital Age. Journal of the Association for Consumer Research 2022;7(2):198 View
  88. Basu P, Carvalho A, Almonte M, Chajès V, Weiderpass E. Pulling the investment levers on implementation research in oncology. The Lancet Oncology 2022;23(4):451 View
  89. Khan M, Wang S, Wang J, Ahmar S, Saeed S, Khan S, Xu X, Chen H, Bhat J, Feng X. Applications of Artificial Intelligence in Climate-Resilient Smart-Crop Breeding. International Journal of Molecular Sciences 2022;23(19):11156 View
  90. Chen J, Baxter S, van den Brandt A, Lieu A, Camp A, Do J, Welsbie D, Moghimi S, Christopher M, Weinreb R, Zangwill L. Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression. Journal of Glaucoma 2023;32(3):151 View
  91. Lu S, Knafl M, Turin A, Offodile A, Ravi V, Sidey-Gibbons C. Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy Patients. JCO Clinical Cancer Informatics 2023;(7) View
  92. Jahandideh S, Ozavci G, Sahle B, Kouzani A, Magrabi F, Bucknall T. Evaluation of machine learning-based models for prediction of clinical deterioration: A systematic literature review. International Journal of Medical Informatics 2023;175:105084 View
  93. Hehakaya C, Moors E. Institutionalisation of convergent medical innovation: an empirical study of the MRI-guided linear accelerator in the Netherlands and the United States. Innovation 2023:1 View
  94. van der Vegt A, Scott I, Dermawan K, Schnetler R, Kalke V, Lane P. Implementation frameworks for end-to-end clinical AI: derivation of the SALIENT framework. Journal of the American Medical Informatics Association 2023;30(9):1503 View
  95. Levy J, Chan N, Marotti J, Kerr D, Gutmann E, Glass R, Dodge C, Suriawinata A, Christensen B, Liu X, Vaickus L. Large‐scale validation study of an improved semiautonomous urine cytology assessment tool: AutoParis‐X. Cancer Cytopathology 2023;131(10):637 View
  96. Fisher E, Flynn M, Pratap P, Vietas J. Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review. International Journal of Environmental Research and Public Health 2023;20(13):6221 View
  97. Cresswell K, Rigby M, Magrabi F, Scott P, Brender J, Craven C, Wong Z, Kukhareva P, Ammenwerth E, Georgiou A, Medlock S, De Keizer N, Nykänen P, Prgomet M, Williams R. The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision. Health Policy 2023;136:104889 View
  98. Gottlich H, Korfiatis P, Gregory A, Kline T. AI in the Loop: functionalizing fold performance disagreement to monitor automated medical image segmentation workflows. Frontiers in Radiology 2023;3 View
  99. Gyldenkærne C, Hansen J, Hertzum M, Mønsted T. Innovation tactics for implementing an ML application in healthcare: A long and winding road. International Journal of Human-Computer Studies 2024;181:103162 View
  100. Drazen J, Kohane I, Leong T, Sahni N, Carrus B. Artificial Intelligence in U.S. Health Care Delivery. New England Journal of Medicine 2023;389(4):348 View
  101. Akhlaghi H, Freeman S, Vari C, McKenna B, Braitberg G, Karro J, Tahayori B. Machine learning in clinical practice: Evaluation of an artificial intelligence tool after implementation. Emergency Medicine Australasia 2024;36(1):118 View
  102. Olawade D, Wada O, David-Olawade A, Kunonga E, Abaire O, Ling J. Using artificial intelligence to improve public health: a narrative review. Frontiers in Public Health 2023;11 View
  103. Akinrinmade A, Adebile T, Ezuma-Ebong C, Bolaji K, Ajufo A, Adigun A, Mohammad M, Dike J, Okobi O. Artificial Intelligence in Healthcare: Perception and Reality. Cureus 2023 View
  104. Vo V, Chen G, Aquino Y, Carter S, Do Q, Woode M. Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis. Social Science & Medicine 2023;338:116357 View
  105. Lentejas M, De la Cruz C, Furto N, Vigonte F, Abante M. Artificial Intelligence (AI) Application in Government Department Hybrid Work Environment: A Holistic Study and Policy Implications (IMRAD). SSRN Electronic Journal 2023 View
  106. Sahadevan S. Project Management in the Era of Artificial Intelligence. European Journal of Theoretical and Applied Sciences 2023;1(3):349 View
  107. Singh Y, Shah D, Maheshwari D, Shah J, Shah S. Advances in AI-Driven Retention Prediction for Different Chromatographic Techniques: Unraveling the Complexity. Critical Reviews in Analytical Chemistry 2023:1 View
  108. Nilsen P, Svedberg P, Neher M, Nair M, Larsson I, Petersson L, Nygren J. A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project. JMIR Research Protocols 2023;12:e50216 View
  109. Zhang X, Gu Y, Yin J, Zhang Y, Jin C, Wang W, Li A, Wang Y, Su L, Xu H, Ge X, Ye C, Tang L, Shen B, Fang J, Wang D, Feng R. Development, Reliability, and Structural Validity of the Scale for Knowledge, Attitude, and Practice in Ethics Implementation Among AI Researchers: Cross-Sectional Study. JMIR Formative Research 2023;7:e42202 View
  110. Kloka J, Holtmann S, Nürenberg-Goloub E, Piekarski F, Zacharowski K, Friedrichson B. Expectations of Anesthesiology and Intensive Care Professionals Toward Artificial Intelligence: Observational Study. JMIR Formative Research 2023;7:e43896 View
  111. Affia A, Finch H, Jung W, Samori I, Potter L, Palmer X. IoT Health Devices: Exploring Security Risks in the Connected Landscape. IoT 2023;4(2):150 View
  112. Li L, Haley L, Boyd A, Bernstam E. Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review. Journal of Biomedical Informatics 2023;147:104531 View
  113. Singh Y, Shah D, Kulkarni M, Patel S, Maheshwari D, Shah J, Shah S. Current trends in chromatographic prediction using artificial intelligence and machine learning. Analytical Methods 2023;15(23):2785 View
  114. Garcia-Lopez A, Girón-Luque F, Rosselli D. La integración de la inteligencia artificial en la atención médica: desafíos éticos y de implementación. Universitas Médica 2023;64(3) View
  115. Wieben A, Walden R, Alreshidi B, Brown S, Cato K, Coviak C, Cruz C, D'Agostino F, Douthit B, Forbes T, Gao G, Johnson S, Lee M, Mullen-Fortino M, Park J, Park S, Pruinelli L, Reger A, Role J, Sileo M, Schultz M, Vyas P, Jeffery A. Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature. Applied Clinical Informatics 2023;14(03):585 View
  116. Neher M, Petersson L, Nygren J, Svedberg P, Larsson I, Nilsen P. Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden. Implementation Science Communications 2023;4(1) View
  117. Zhang B, Shi H, Wang H. Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach. Journal of Multidisciplinary Healthcare 2023;Volume 16:1779 View
  118. Pedro A, Dias M, Laranjo L, Cunha A, Cordeiro J, Adebisi J. Artificial intelligence in medicine: A comprehensive survey of medical doctor’s perspectives in Portugal. PLOS ONE 2023;18(9):e0290613 View
  119. Ardito V, Cappellaro G, Compagni A, Petracca F, Preti L. Implementation of Machine Learning Applications in Health Care Organizations: Protocol for a Systematic Review of Empirical Studies. JMIR Research Protocols 2023;12:e47971 View
  120. Zhou T, Luo Y, Li J, Zhang H, Meng Z, Xiong W, Zhang J. Application of Artificial Intelligence in Oncology Nursing. Cancer Nursing 2023;Publish Ahead of Print View
  121. Fuller G, Hasan M, Hodkinson P, McAlpine D, Goodacre S, Bath P, Sbaffi L, Omer Y, Wallis L, Marincowitz C, Yoon D. Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting. PLOS Digital Health 2023;2(9):e0000309 View
  122. Christie L, Sala A, Cameron J, Conn J, Palmer D, McGeown W, Cannon J, Sharp J, Baker M. Rapid detection of heart failure using a spectroscopic liquid biopsy. Clinical Spectroscopy 2023;5:100029 View
  123. Costa Climent R. Maximización de los beneficios del aprendizaje automático. ESIC Digital Economy and Innovation Journal 2023;2:e062 View
  124. Park M, Oh N, Jung Y. Digital Twins in Healthcare and Their Applicability in Rhinology: A Narrative Review. Journal of Rhinology 2023;30(2):80 View
  125. Kale A, Nguyen T, Harris F, Li C, Zhang J, Ma X. Provenance documentation to enable explainable and trustworthy AI: A literature review. Data Intelligence 2023;5(1):139 View
  126. Delshad M, Omrani M, Pourbagheri-Sigaroodi A, Bashash D. Oncology in the modern era: Artificial Intelligence is reshaping cancer diagnosis, prognosis and treatment. Iranian Journal of Blood and Cancer 2023;15(3):13 View
  127. Gillner S. We're implementing AI now, so why not ask us what to do? – How AI providers perceive and navigate the spread of diagnostic AI in complex healthcare systems. Social Science & Medicine 2024;340:116442 View
  128. Costa-Climent R, Navarrete S, Haftor D, Staniewski M. Value creation and appropriation from the use of machine learning: a study of start-ups using fuzzy-set qualitative comparative analysis. International Entrepreneurship and Management Journal 2023 View
  129. Lämmermann L, Hofmann P, Urbach N. Managing artificial intelligence applications in healthcare: Promoting information processing among stakeholders. International Journal of Information Management 2024;75:102728 View
  130. Xin W. Application of intelligent trajectory analysis based on new spectral imaging technology in basketball match motion recognition. Optical and Quantum Electronics 2024;56(3) View
  131. Li X, Liao J, Chen M, Gao K, Wang Y, Yan S, Huang Q, Wang Y, Shi Y, Hu W, Jin Y. The Application of Computer Technology to Clinical Practice Guideline Implementation: A Scoping Review. Journal of Medical Systems 2023;48(1) View
  132. He D, Wang R, Xu Z, Wang J, Song P, Wang H, Su J. The use of artificial intelligence in the treatment of rare diseases: A scoping review. Intractable & Rare Diseases Research 2024;13(1):12 View
  133. Dey A. ChatGPT in Diabetes Care: An Overview of the Evolution and Potential of Generative Artificial Intelligence Model Like ChatGPT in Augmenting Clinical and Patient Outcomes in the Management of Diabetes. International Journal of Diabetes and Technology 2023;2(2):66 View
  134. Townsend D, Hunt R, Rady J, Manocha P, Jin J. Are the Futures Computable? Knightian Uncertainty and Artificial Intelligence. Academy of Management Review 2024 View
  135. Hummel P, Braun M, Bischoff S, Samhammer D, Seitz K, Fasching P, Dabrock P. Perspectives of patients and clinicians on big data and AI in health: a comparative empirical investigation. AI & SOCIETY 2024 View
  136. Wickramasinghe N, Jayaraman P, Forkan A, Ulapane N, Kaul R, Vaughan S, Zelcer J. A Vision for Leveraging the Concept of Digital Twins to Support the Provision of Personalized Cancer Care. IEEE Internet Computing 2022;26(5):17 View
  137. Liu F, Hang X. Design of artificial intelligence volleyball teaching intelligent assistant system based on artificial muscle integrated optical equipment. Optical and Quantum Electronics 2024;56(3) View
  138. Sideris K, Weir C, Schmalfuss C, Hanson H, Pipke M, Tseng P, Lewis N, Sallam K, Bozkurt B, Hanff T, Schofield R, Larimer K, Kyriakopoulos C, Taleb I, Brinker L, Curry T, Knecht C, Butler J, Stehlik J. Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial. Journal of the American Medical Informatics Association 2024;31(4):919 View
  139. Naser M, Majeed A, Alsabah M, Al-Shaikhli T, Kaky K. A Review of Machine Learning’s Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges. Algorithms 2024;17(2):78 View
  140. Kotte B, A N, V S, Hema Lingireddy , K V G, Abhijeet Mudhale , B G, E A. Artificial intelligence (AI) and its applications in agriculture: A Review. Environment Conservation Journal 2024;25(1):274 View
  141. Younas A, Reynolds S. Leveraging Artificial Intelligence for Expediting Implementation Efforts. Creative Nursing 2024;30(2):111 View
  142. Claggett J, Petter S, Joshi A, Ponzio T, Kirkendall E. An Infrastructure Framework for Remote Patient Monitoring Interventions and Research. Journal of Medical Internet Research 2024;26:e51234 View
  143. Lakkimsetti M, Devella S, Patel K, Dhandibhotla S, Kaur J, Mathew M, Kataria J, Nallani M, Farwa U, Patel T, Egbujo U, Meenashi Sundaram D, Kenawy S, Roy M, Khan S. Optimizing the Clinical Direction of Artificial Intelligence With Health Policy: A Narrative Review of the Literature. Cureus 2024 View
  144. Mamo Y, Crompton H, Burke D, Nickel C. Higher Education Faculty Perceptions of ChatGPT and the Influencing Factors: A Sentiment Analysis of X. TechTrends 2024;68(3):520 View
  145. Messelink M, Fadaei S, Verhoef L, Welsing P, Nijhof N, Westland H. Rheumatoid arthritis patients’ perspective on the use of prediction models in clinical decision-making. Rheumatology 2024 View
  146. Karpathakis K, Morley J, Floridi L. A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality. SSRN Electronic Journal 2024 View
  147. Newlands R, Bruhn H, Díaz M, Lip G, Anderson L, Ramsay C. A stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study): a qualitative study using the WHO guide. BMC Health Services Research 2024;24(1) View
  148. Rane N, Paramesha M, Choudhary S, Rane J. Artificial Intelligence, Machine Learning, and Deep Learning for Advanced Business Strategies: a Review. SSRN Electronic Journal 2024 View
  149. Bienefeld N, Keller E, Grote G. Human-AI Teaming in the ICU: A Comparative Analysis of Data Scientists' and Clinicians’ Assessments on AI Augmentation and Automation at Work (Preprint). Journal of Medical Internet Research 2023 View
  150. Hussain W, Mabrok M, Gao H, Rabhi F, Rashed E. Revolutionising healthcare with artificial intelligence: A bibliometric analysis of 40 years of progress in health systems. DIGITAL HEALTH 2024;10 View
  151. Alami H, Lehoux P, Papoutsi C, Shaw S, Fleet R, Fortin J. Understanding the integration of artificial intelligence in healthcare organisations and systems through the NASSS framework: a qualitative study in a leading Canadian academic centre. BMC Health Services Research 2024;24(1) View
  152. Park Y, Park S, Lee M. Effectiveness of artificial intelligence in detecting and managing depressive disorders: Systematic review. Journal of Affective Disorders 2024;361:445 View
  153. Hassan M, Kushniruk A, Borycki E. Barriers and Facilitators of Artificial Intelligence Adoption in Healthcare: A Scoping Review (Preprint). JMIR Human Factors 2023 View

Books/Policy Documents

  1. Ulapane N, Wickramasinghe N. Optimizing Health Monitoring Systems With Wireless Technology. View
  2. Samori I, Palmer X, Potter L, Karahan S. Intelligent Systems and Applications. View
  3. Mohamad I, Hughes L, Dwivedi Y, Alalwan A. The Role of Digital Technologies in Shaping the Post-Pandemic World. View
  4. Ulapane N, Wickramasinghe N. Digital Disruption in Health Care. View
  5. Doguc O. Handbook of Research on Consumer Behavioral Analytics in Metaverse and the Adoption of a Virtual World. View
  6. Hayes C. Creative AI Tools and Ethical Implications in Teaching and Learning. View
  7. Wang Y, Zhao C, Liu W, Liu X. Proceedings of 2023 Chinese Intelligent Systems Conference. View
  8. Mahlangu Z, Leke C. Towards Digitally Transforming Accounting and Business Processes. View
  9. Ho K, Park S, Lai M, Krakovsky S. Artificial Intelligence in Medicine. View
  10. Hayes C. Exploring the Ethical Implications of Generative AI. View
  11. Singh V. Artificial Intelligence and Machine Learning for Women’s Health Issues. View
  12. Wojda T, Hoffman C, Kindler K, Desai A, Visweswaran S. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 2 [Working Title]. View
  13. Yadav A, Shree B, Lakhwani D, Singh A. Integrative Omics. View
  14. Toumia O, Zouari F. AI Innovation in Services Marketing. View
  15. Ahmed K, Chandra Das B, Saadati Y, Amini M. Distributed Machine Learning and Computing. View
  16. Hayes C. Enhancing Higher Education and Research With OpenAI Models. View
  17. Asare-Werehene M, Tsuyoshi H, Lee E, Chiu K, Ngu S, Ngan H, Chan K, Yoshida Y, Tsang B. Peritoneal Tumor Microenvironment of Cancers on Cancer Hallmarks. View