Published on in Vol 8, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at, first published .
Artificial Intelligence in Clinical Health Care Applications: Viewpoint

Artificial Intelligence in Clinical Health Care Applications: Viewpoint

Artificial Intelligence in Clinical Health Care Applications: Viewpoint


  1. Haleem A, Javaid M, Khan I. Current status and applications of Artificial Intelligence (AI) in medical field: An overview. Current Medicine Research and Practice 2019;9(6):231 View
  2. 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
  3. Dallora A, Berglund J, Brogren M, Kvist O, Diaz Ruiz S, Dübbel A, Anderberg P. Age Assessment of Youth and Young Adults Using Magnetic Resonance Imaging of the Knee: A Deep Learning Approach. JMIR Medical Informatics 2019;7(4):e16291 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. Cheng C, Chen C, Cheng F, Chen H, Su Y, Yeh C, Chung I, Liao C. A Human-Algorithm Integration System for Hip Fracture Detection on Plain Radiography: System Development and Validation Study. JMIR Medical Informatics 2020;8(11):e19416 View
  6. van de Stolpe A, Verhaegh W, Blay J, Ma C, Pauwels P, Pegram M, Prenen H, De Ruysscher D, Saba N, Slovin S, Willard-Gallo K, Husain H. RNA Based Approaches to Profile Oncogenic Pathways From Low Quantity Samples to Drive Precision Oncology Strategies. Frontiers in Genetics 2021;11 View
  7. Inda M, Blok E, Kuppen P, Charehbili A, den Biezen-Timmermans E, van Brussel A, Fruytier S, Meershoek-Klein Kranenbarg E, Kloet S, van der Burg B, Martens J, Sims A, Turnbull A, Dixon J, Verhaegh W, Kroep J, van de Velde C, van de Stolpe A. Estrogen Receptor Pathway Activity Score to Predict Clinical Response or Resistance to Neoadjuvant Endocrine Therapy in Primary Breast Cancer. Molecular Cancer Therapeutics 2020;19(2):680 View
  8. Fritz R, Wilson M, Dermody G, Schmitter-Edgecombe M, Cook D. Automated Smart Home Assessment to Support Pain Management: Multiple Methods Analysis. Journal of Medical Internet Research 2020;22(11):e23943 View
  9. Martinho A, Kroesen M, Chorus C. Computer Says I Don’t Know: An Empirical Approach to Capture Moral Uncertainty in Artificial Intelligence. Minds and Machines 2021;31(2):215 View
  10. Shah Y, Soni S, Patel M. Artificial intelligence in healthcare. Indian Journal of Pharmacy and Pharmacology 2021;8(2):102 View
  11. 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
  12. 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
  13. Ajankar S, Nimodiya A. Artificial Intelligence : The Supermind - A Review. International Journal of Advanced Research in Science, Communication and Technology 2022:194 View
  14. d’Aliberti O, Clark M. Preserving Patient Privacy During Computation over Shared Electronic Health Record Data. Journal of Medical Systems 2022;46(12) View
  15. Ji M, Chen X, Genchev G, Wei M, Yu G. Status of AI-Enabled Clinical Decision Support Systems Implementations in China. Methods of Information in Medicine 2021;60(05/06):123 View
  16. Quazi S. Artificial intelligence and machine learning in precision and genomic medicine. Medical Oncology 2022;39(8) View
  17. khan B, Fatima H, Qureshi A, Kumar S, Hanan A, Hussain J, Abdullah S. Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector. Biomedical Materials & Devices 2023;1(2):731 View
  18. Martinho A, Kroesen M, Chorus C. A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence. Artificial Intelligence in Medicine 2021;121:102190 View
  19. Xie Y, Seth I, Hunter-Smith D, Rozen W, Ross R, Lee M. Aesthetic Surgery Advice and Counseling from Artificial Intelligence: A Rhinoplasty Consultation with ChatGPT. Aesthetic Plastic Surgery 2023;47(5):1985 View
  20. Xie Y, Seth I, Rozen W, Hunter-Smith D. Evaluation of the Artificial Intelligence Chatbot on Breast Reconstruction and Its Efficacy in Surgical Research: A Case Study. Aesthetic Plastic Surgery 2023;47(6):2360 View
  21. Bienefeld N, Kolbe M, Camen G, Huser D, Buehler P. Human-AI teaming: leveraging transactive memory and speaking up for enhanced team effectiveness. Frontiers in Psychology 2023;14 View
  22. Carels N, Sgariglia D, Junior M, Lima C, Carneiro F, Silva G, Silva F, Scardini R, Tuszynski J, Andrade C, Monteiro A, Martins M, Silva T, Ferraz H, Finotelli P, Balbino T, Pinto J. A Strategy Utilizing Protein–Protein Interaction Hubs for the Treatment of Cancer Diseases. International Journal of Molecular Sciences 2023;24(22):16098 View
  23. Ampofo J, Emery C, Ofori I, Faggioni L. Assessing the Level of Understanding (Knowledge) and Awareness of Diagnostic Imaging Students in Ghana on Artificial Intelligence and Its Applications in Medical Imaging. Radiology Research and Practice 2023;2023:1 View
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  25. Yang P, Filtjens B, Ginis P, Goris M, Nieuwboer A, Gilat M, Slaets P, Vanrumste B. Freezing of gait assessment with inertial measurement units and deep learning: effect of tasks, medication states, and stops. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View
  26. Ewals L, Heesterbeek L, Yu B, van der Wulp K, Mavroeidis D, Funk M, Snijders C, Jacobs I, Nederend J, Pluyter J. The Impact of Expectation Management and Model Transparency on Radiologists’ Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study. JMIR AI 2024;3:e52211 View
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  28. Lopes J, Faria M, Santos M, Dionisio M. Exploring trends and autonomy levels of adaptive business intelligence in healthcare: A systematic review. PLOS ONE 2024;19(5):e0302697 View

Books/Policy Documents

  1. Abd-Alrazaq A, Schneider J, Alhuwail D, Hamdi M, Al-Kuwari S, Al-Thani D, Househ M. Multiple Perspectives on Artificial Intelligence in Healthcare. View
  2. Ferreira R, Santos R, Sousa A. Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare. View
  3. Koul S, Kaurav P. Sub-Terahertz Sensing Technology for Biomedical Applications. View
  4. Balaji P, Chakrabarti P, Hung B. Innovations in Computer Science and Engineering. View
  5. Sharma R, Gulati A, Chopra K. Artificial Intelligence and Machine Learning in Healthcare. View
  6. Durrah O, Aldhmour F, El-Maghraby L, Chakir A. Engineering Applications of Artificial Intelligence. View