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

Artificial Intelligence (1371) Knowledge Translation and Implementation Science (398) Machine Learning (1465)

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 (195) Tweetations (31) Metrics

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  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 2024;20(2):935 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 Xin W. RETRACTED ARTICLE: Application of intelligent trajectory analysis based on new spectral imaging technology in basketball match motion recognition.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. RETRACTED ARTICLE: 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 Critical Care: A Comparative Analysis of Data Scientists’ and Clinicians’ Perspectives on AI Augmentation and Automation. Journal of Medical Internet Research 2024;26:e50130 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 to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review. JMIR Human Factors 2024;11:e48633 View
  154. Delpino F, Costa Â, César do Nascimento M, Dias Moura H, Geremias dos Santos H, Wichmann R, Porto Chiavegatto Filho A, Arcêncio R, Nunes B. Does machine learning have a high performance to predict obesity among adults and older adults? A systematic review and meta-analysis. Nutrition, Metabolism and Cardiovascular Diseases 2024;34(9):2034 View
  155. Rajagopal A, Ayanian S, Ryu A, Qian R, Legler S, Peeler E, Issa M, Coons T, Kawamoto K. Machine Learning Operations in Health Care: A Scoping Review. Mayo Clinic Proceedings: Digital Health 2024;2(3):421 View
  156. Siira E, Tyskbo D, Nygren J. Healthcare leaders’ experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study. BMC Primary Care 2024;25(1) View
  157. Bélisle-Pipon J, Powell M, English R, Malo M, Ravitsky V, Bensoussan Y. Stakeholder perspectives on ethical and trustworthy voice AI in health care. DIGITAL HEALTH 2024;10 View
  158. Javed N, Paradkar P, Bhatti A. An overview of technologies available to monitor behaviours of mosquitoes. Acta Tropica 2024;258:107347 View
  159. Tyskbo D, Nygren J. Reconfiguration of uncertainty: Introducing AI for prediction of mortality at the emergency department. Social Science & Medicine 2024;359:117298 View
  160. Mooghali M, Stroud A, Yoo D, Barry B, Grimshaw A, Ross J, Zhu X, Miller J. Trustworthy and ethical AI-enabled cardiovascular care: a rapid review. BMC Medical Informatics and Decision Making 2024;24(1) View
  161. Rakers M, van Buchem M, Kucenko S, de Hond A, Kant I, van Smeden M, Moons K, Leeuwenberg A, Chavannes N, Villalobos-Quesada M, van Os H. Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care. JAMA Network Open 2024;7(9):e2432990 View
  162. Karpathakis K, Morley J, Floridi L. A Justifiable Investment in AI for Healthcare: Aligning Ambition with Reality. Minds and Machines 2024;34(4) View
  163. Dixit A, Jatav S. Evolving needs of learners and role of artificial intelligence (AI) in training and development (T&D): T&D professionals' perspective. Journal of Management Development 2024 View
  164. N A, Chowdhury R, L P, Peter R, VV A. Perception of the Adoption of Artificial Intelligence in Healthcare Practices Among Healthcare Professionals in a Tertiary Care Hospital: A Cross-Sectional Study. Cureus 2024 View
  165. Chen J, Ma B, Hu M, Zhai G, Sun W, Yang S. Objective Bi-Modal Assessment of Knee Osteoarthritis Severity Grades: Model and Mechanism. IEEE Transactions on Instrumentation and Measurement 2024;73:1 View
  166. Bienefeld N, Keller E, Grote G. AI to Mitigate Healthcare Shortages: A Qualitative Analysis of Current and Future Work Conditions to Enhance Job Satisfaction and Wellbeing in Critical Care Nurses and Physicians (Preprint). Journal of Medical Internet Research 2023 View
  167. Morgan P, Cogan N. Using artificial intelligence to address mental health inequalities: co-creating machine learning algorithms with key stakeholders and citizen engagement. Journal of Public Mental Health 2024 View
  168. Afjal M. Evolving trends, limitations, and ethical considerations in AI-driven conversational interfaces: assessing ChatGPT's impact on healthcare, financial services, and educational sectors. Technology Analysis & Strategic Management 2024:1 View
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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
  18. Widmer S, Angerer A. Technologien und Technologiemanagement im Gesundheitswesen. View
  19. Singh K, Singh S, Wadhwa S, Baghel D. Integrating AI-Driven Technologies Into Service Marketing. View
  20. Mathew R, Paluru N, Yalavarthy P. Biotechnology in India - Reworking A Strategy. View