Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52674, first published .
Importance of Patient History in Artificial Intelligence–Assisted Medical Diagnosis: Comparison Study

Importance of Patient History in Artificial Intelligence–Assisted Medical Diagnosis: Comparison Study

Importance of Patient History in Artificial Intelligence–Assisted Medical Diagnosis: Comparison Study

Journals

  1. Shikino K, Shimizu T, Otsuka Y, Tago M, Takahashi H, Watari T, Sasaki Y, Iizuka G, Tamura H, Nakashima K, Kunitomo K, Suzuki M, Aoyama S, Kosaka S, Kawahigashi T, Matsumoto T, Orihara F, Morikawa T, Nishizawa T, Hoshina Y, Yamamoto Y, Matsuo Y, Unoki Y, Kimura H, Tokushima M, Watanuki S, Saito T, Otsuka F, Tokuda Y. Evaluation of ChatGPT-Generated Differential Diagnosis for Common Diseases With Atypical Presentation: Descriptive Research. JMIR Medical Education 2024;10:e58758 View
  2. Lepore M, Plenzich E, Tufano R, Cerulli R, Maccioni R. Improving patient’s medical history classification using a feature construction approach based on situation awareness and granular computing. Neural Computing and Applications 2024;36(35):22461 View
  3. Gosak L, Štiglic G, Pruinelli L, Vrbnjak D. PICOT questions and search strategies formulation: A novel approach using artificial intelligence automation. Journal of Nursing Scholarship 2025;57(1):5 View
  4. Nylenna M. Medisin i norsk kriminallitteratur. Tidsskrift for Den norske legeforening 2024 View
  5. Kopka M, Wang S, Kunz S, Schmid C, Feufel M. Technology-supported self-triage decision making. npj Health Systems 2025;2(1) View
  6. Wu X, Oniani D, Shao Z, Arciero P, Sivarajkumar S, Hilsman J, Mohr A, Ibe S, Moharir M, Li L, Jain R, Chen J, Wang Y. A Scoping Review of Artificial Intelligence for Precision Nutrition. Advances in Nutrition 2025;16(4):100398 View
  7. Rewthamrongsris P, Burapacheep J, Phattarataratip E, Kulthanaamondhita P, Tichy A, Schwendicke F, Osathanon T, Sappayatosok K. Image-Based Diagnostic Performance of LLMs vs CNNs for Oral Lichen Planus: Example-Guided and Differential Diagnosis. International Dental Journal 2025;75(4):100848 View
  8. Alrwaily M. Delivering Musculoskeletal Rehabilitation in the Digital Era: A Perspective on Clinical Strategies for Remote Practice. Healthcare 2025;13(18):2286 View
  9. Ting P, Wolffsohn J. Artificial intelligence-driven patient history and symptoms combined with slit-lamp eye simulation for enhancing the clinical training of students. Clinical and Experimental Optometry 2025:1 View
  10. Yanagita Y, Yokokawa D, Ihara S, Yoshida R, Okano Y, Uehara T. Quality Assessment of Large Language Model–Generated Medical Dialogue for Clinical Vignettes: Evaluation Study. JMIR Formative Research 2025;9:e80752 View
  11. Ram S, Gilboa I, Ariel G, Sabag D, Grisaru D, Michaan N, Laskov I, Lavie M. Risk factors for hospital readmission following staging surgery for endometrial cancer. European Journal of Obstetrics & Gynecology and Reproductive Biology 2026;316:114792 View
  12. Rezaei-Zadeh M, Cerbin-Koczorowska M. A research roadmap for AI opportunities in student assessment for medical education. BMC Medical Education 2025;25(1) View
  13. Bartkowski J, Zerdka J, Brasse P, Piszka M, Kwapien E, Staszkiewicz K, Kubicka M, Staszkiewicz K, Czarnecki F. Artificial Intelligence in Medicine With Emphasis on Orthopedic Practice. Cureus 2025 View

Books/Policy Documents

  1. Kamotho C, Bukachi F. Telemedicine - Models of Care [Working Title]. View
  2. Oh G, Won Y, Lim D, Shin J. Ophthalmic Medical Image Analysis. View

Conference Proceedings

  1. Raghu A, Raghu A. 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). Metafusion: A Novel Method for Integrating Clinical Metadata with Imaging Modalities for Medical Applications View