Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29943, first published .
A Novel Diagnostic Decision Support System for Medical Professionals: Prospective Feasibility Study

A Novel Diagnostic Decision Support System for Medical Professionals: Prospective Feasibility Study

A Novel Diagnostic Decision Support System for Medical Professionals: Prospective Feasibility Study

Journals

  1. Hennemann S, Kuhn S, Witthöft M, Jungmann S. Diagnostic Performance of an App-Based Symptom Checker in Mental Disorders: Comparative Study in Psychotherapy Outpatients. JMIR Mental Health 2022;9(1):e32832 View
  2. Gilbert S, Wicks P. Comment on “Accuracy and usability of a diagnostic decision support system in the diagnosis of three representative rheumatic diseases: a randomized controlled trial among medical students”. Arthritis Research & Therapy 2022;24(1) View
  3. Schmude M, Salim N, Azadzoy H, Bane M, Millen E, O’Donnell L, Bode P, Türk E, Vaidya R, Gilbert S. Investigating the Potential for Clinical Decision Support in Sub-Saharan Africa With AFYA (Artificial Intelligence-Based Assessment of Health Symptoms in Tanzania): Protocol for a Prospective, Observational Pilot Study. JMIR Research Protocols 2022;11(6):e34298 View
  4. Buschmeyer K, Hatfield S, Zenner J. Psychological assessment of AI-based decision support systems: tool development and expected benefits. Frontiers in Artificial Intelligence 2023;6 View
  5. Mulesa O, Horvat P, Yehorchenkov O, Imre Y, Ferens D, Kocipak V. Collaborative human-machine decision support systems with digital channels. Ukrainian Journal of Information Technology 2023;5(1):61 View

Books/Policy Documents

  1. Pilch A, Zygała R, Gryncewicz W, Dyvak M, Melnyk A. Emerging Challenges in Intelligent Management Information Systems. View