Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16607, first published .
Unlocking the Power of Artificial Intelligence and Big Data in Medicine

Unlocking the Power of Artificial Intelligence and Big Data in Medicine

Unlocking the Power of Artificial Intelligence and Big Data in Medicine

Authors of this article:

Christian Lovis1, 2 Author Orcid Image

Journals

  1. Radu L. Disruptive Technologies in Smart Cities: A Survey on Current Trends and Challenges. Smart Cities 2020;3(3):1022 View
  2. Mantica G, Terrone C. Re: Eugene Shkolyar, Xiao Jia, Timothy C. Chang, et al. Augmented Bladder Tumor Detection Using Deep Learning. Eur Urol 2019;76:714–8. European Urology 2020;77(5):e133 View
  3. Eysenbach G. Celebrating 20 Years of Open Access and Innovation at JMIR Publications. Journal of Medical Internet Research 2019;21(12):e17578 View
  4. Abdullah R, Fakieh B. Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study. Journal of Medical Internet Research 2020;22(5):e17620 View
  5. Tan M, Hatef E, Taghipour D, Vyas K, Kharrazi H, Gottlieb L, Weiner J. Including Social and Behavioral Determinants in Predictive Models: Trends, Challenges, and Opportunities. JMIR Medical Informatics 2020;8(9):e18084 View
  6. Mahler M, Martinez-Prat L, Sparks J, Deane K. Precision medicine in the care of rheumatoid arthritis: Focus on prediction and prevention of future clinically-apparent disease. Autoimmunity Reviews 2020;19(5):102506 View
  7. Or C, Liu K, So M, Cheung B, Yam L, Tiwari A, Lau Y, Lau T, Hui P, Cheng H, Tan J, Cheung M. Improving Self-Care in Patients With Coexisting Type 2 Diabetes and Hypertension by Technological Surrogate Nursing: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(3):e16769 View
  8. Ambagtsheer R, Shafiabady N, Dent E, Seiboth C, Beilby J. The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set. International Journal of Medical Informatics 2020;136:104094 View
  9. Han Y, Li W, Liu M, Wu Z, Zhang F, Liu X, Tao L, Li X, Guo X. Application of an Anomaly Detection Model to Screen for Ocular Diseases Using Color Retinal Fundus Images: Design and Evaluation Study. Journal of Medical Internet Research 2021;23(7):e27822 View
  10. Lu W, Tsai I, Wang K, Tang T, Li K, Ke Y, Chen P. Innovation Resistance and Resource Allocation Strategy of Medical Information Digitalization. Sustainability 2021;13(14):7888 View
  11. Fernandez-Luque L, Al Herbish A, Al Shammari R, Argente J, Bin-Abbas B, Deeb A, Dixon D, Zary N, Koledova E, Savage M. Digital Health for Supporting Precision Medicine in Pediatric Endocrine Disorders: Opportunities for Improved Patient Care. Frontiers in Pediatrics 2021;9 View
  12. Liu C, Liu C, Hu K, Tseng V, Chang S, Lin Y, Lo L, Chung F, Chao T, Tuan T, Liao J, Lin C, Chang T, Shen-Jang Fann C, Higa S, Yagi N, Hu Y, Chen S. A Deep Learning–Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome. Canadian Journal of Cardiology 2022;38(2):152 View
  13. Görtz M, Byczkowski M, Rath M, Schütz V, Reimold P, Gasch C, Simpfendörfer T, März K, Seitel A, Nolden M, Ross T, Mindroc-Filimon D, Michael D, Metzger J, Onogur S, Speidel S, Mündermann L, Fallert J, Müller M, von Knebel Doeberitz M, Teber D, Seitz P, Maier-Hein L, Duensing S, Hohenfellner M. A Platform and Multisided Market for Translational, Software-Defined Medical Procedures in the Operating Room (OP 4.1): Proof-of-Concept Study. JMIR Medical Informatics 2022;10(1):e27743 View
  14. Ivshin A, Boldina Y, Gusev A. The role of artificial intelligence in predicting preterm birth. Problemy reproduktsii 2021;27(5):121 View
  15. Chen S, Novoa R. Artificial intelligence for dermatopathology: Current trends and the road ahead. Seminars in Diagnostic Pathology 2022;39(4):298 View
  16. Heo S, Ha J, Jung W, Yoo S, Song Y, Kim T, Cha W. Decision effect of a deep-learning model to assist a head computed tomography order for pediatric traumatic brain injury. Scientific Reports 2022;12(1) View
  17. Katta M, Kalluru P, Bavishi D, Hameed M, Valisekka S. Artificial intelligence in pancreatic cancer: diagnosis, limitations, and the future prospects—a narrative review. Journal of Cancer Research and Clinical Oncology 2023;149(9):6743 View
  18. Chen Z, He Y. Correlation of Christian ethics and developments in artificial intelligence. Technology Analysis & Strategic Management 2024;36(7):1635 View
  19. Guo J, Cao W, Nie B, Qin Q. Unsupervised Learning Composite Network to Reduce Training Cost of Deep Learning Model for Colorectal Cancer Diagnosis. IEEE Journal of Translational Engineering in Health and Medicine 2023;11:54 View
  20. 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
  21. Shu C, Chen Y, Yang H, Tao R, Chen X, Yu J. Investigation and Countermeasures Research of Hospital Information Construction of Tertiary Class-A Public Hospitals in China: Questionnaire Study. JMIR Formative Research 2023;7:e41820 View
  22. Dagli M, Rajesh A, Asaad M, Butler C. The Use of Artificial Intelligence and Machine Learning in Surgery: A Comprehensive Literature Review. The American Surgeon™ 2023;89(5):1980 View
  23. Yang X, Wu J, Chen X. Application of Artificial Intelligence to the Diagnosis and Therapy of Nasopharyngeal Carcinoma. Journal of Clinical Medicine 2023;12(9):3077 View
  24. Bernardi F, Alves D, Crepaldi N, Yamada D, Lima V, Rijo R. Data Quality in Health Research: Integrative Literature Review. Journal of Medical Internet Research 2023;25:e41446 View
  25. Alghamdi O, Agag G. Boosting Innovation Performance through Big Data Analytics Powered by Artificial Intelligence Use: An Empirical Exploration of the Role of Strategic Agility and Market Turbulence. Sustainability 2023;15(19):14296 View
  26. Brereton T, Malik M, Lifson M, Greenwood J, Peterson K, Overgaard S. The Role of Artificial Intelligence Model Documentation in Translational Science: Scoping Review. Interactive Journal of Medical Research 2023;12:e45903 View
  27. Xie H, Cebulla A, Bastani P, Balasubramanian M. Trends and Patterns in Electronic Health Record Research (1991–2022): A Bibliometric Analysis of Australian Literature. International Journal of Environmental Research and Public Health 2024;21(3):361 View
  28. Surbaya S, Khan A, Surbaya S, Alzahrani S. Knowledge, Attitude and Practice Toward Artificial Intelligence Among Healthcare Workers in Private Polyclinics in Jeddah, Saudi Arabia. Advances in Medical Education and Practice 2024;Volume 15:269 View

Books/Policy Documents

  1. Langlois L, Régis C. Reflections on Artificial Intelligence for Humanity. View
  2. Pchelkin A, Gusarova N, Dobrenko N, Vatyan A. Futuristic Trends in Network and Communication Technologies. View
  3. Motulsky A, Nikiema J, Bosson-Rieutort D. Multiple Perspectives on Artificial Intelligence in Healthcare. View
  4. Alqadhi B, Hamdan A, Nasseif H. Digitalisation: Opportunities and Challenges for Business. View
  5. Shaban-Nejad A, Michalowski M, Bianco S. AI for Disease Surveillance and Pandemic Intelligence. View
  6. . Enzyme‐Based Organic Synthesis. View