Published on in Vol 22, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17550, first published .
Artificial Intelligence-Based Differential Diagnosis: Development and Validation of a Probabilistic Model to Address Lack of Large-Scale Clinical Datasets

Artificial Intelligence-Based Differential Diagnosis: Development and Validation of a Probabilistic Model to Address Lack of Large-Scale Clinical Datasets

Artificial Intelligence-Based Differential Diagnosis: Development and Validation of a Probabilistic Model to Address Lack of Large-Scale Clinical Datasets

Journals

  1. D'Ambrosia C, Christensen H, Aronoff-Spencer E. Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development. Journal of Medical Internet Research 2020;22(12):e24478 View
  2. Manco L, Maffei N, Strolin S, Vichi S, Bottazzi L, Strigari L. Basic of machine learning and deep learning in imaging for medical physicists. Physica Medica 2021;83:194 View
  3. Al-Khafaji J, Townshend R, Townsend W, Chopra V, Gupta A. Checklists to reduce diagnostic error: a systematic review of the literature using a human factors framework. BMJ Open 2022;12(4):e058219 View
  4. Lyu K, Tian Y, Shang Y, Zhou T, Yang Z, Liu Q, Yao X, Zhang P, Chen J, Li J. Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy. Journal of Biomedical Informatics 2023;139:104298 View
  5. Porras A, Rosenbaum K, Tor-Diez C, Summar M, Linguraru M. Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study. The Lancet Digital Health 2021;3(10):e635 View
  6. Hofer B, Kittler M, Laukens K. How deep learning influences workflows and roles in virtual surgical planning. Discover Health Systems 2023;2(1) View
  7. Kanazawa A, Fujibayashi K, Watanabe Y, Kushiro S, Yanagisawa N, Fukataki Y, Kitamura S, Hayashi W, Nagao M, Nishizaki Y, Inomata T, Arikawa-Hirasawa E, Naito T. Evaluation of a Medical Interview-Assistance System Using Artificial Intelligence for Resident Physicians Interviewing Simulated Patients: A Crossover, Randomized, Controlled Trial. International Journal of Environmental Research and Public Health 2023;20(12):6176 View
  8. Rudd J, Igbrude C. A global perspective on data powering responsible AI solutions in health applications. AI and Ethics 2024;4(4):1039 View
  9. Li H, Hayward J, Aguilar L, Franc J. Desired clinical applications of artificial intelligence in emergency medicine: A Delphi study. The American Journal of Emergency Medicine 2024;79:217 View
  10. Sun S, Huynh K, Cortes G, Hill R, Tran J, Yeh L, Ngo A, Houshyar R, Yaghmai V, Tran M, Moy L, Wolfe S. Testing the Ability and Limitations of ChatGPT to Generate Differential Diagnoses from Transcribed Radiologic Findings. Radiology 2024;313(1) View

Books/Policy Documents

  1. Bianciardi L, Corallo C, Criscuoli M, Fortunato D, Zarovni N, Zocco D. Early Detection and Treatment of Head & Neck Cancers. View