This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (619) Ethics, Privacy, and Legal Issues (617) Policy and Policy Proposals (150) Artificial Intelligence (2129) Mobile Health (mhealth) (3464) Clinical Information and Decision Making (1915) mHealth for Diagnosis (81) Security and Privacy of mHealth and uHealth (158)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50344, first published .
Does an App a Day Keep the Doctor Away? AI Symptom Checker Applications, Entrenched Bias, and Professional Responsibility

Does an App a Day Keep the Doctor Away? AI Symptom Checker Applications, Entrenched Bias, and Professional Responsibility

Does an App a Day Keep the Doctor Away? AI Symptom Checker Applications, Entrenched Bias, and Professional Responsibility

Authors of this article:

Ma'n H Zawati1 Author Orcid Image ;   Michael Lang1 Author Orcid Image
Article Authors Cited by (5) Tweetations (10) Metrics

Journals

  1. Stevens Y, Zawati M. Transparency, Evaluation and Going From “Ethics-Washing” to Enforceable Regulation: On Machine Learning-Driven Clinician Decision Aids. The American Journal of Bioethics 2024;24(9):117 View
  2. Padela A, Hayek R, Tabassum A, Jotterand F, Qadir J. Assisting, Replicating, or Autonomously Acting? An Ethical Framework for Integrating AI Tools and Technologies in Healthcare. Bioethics 2025 View
  3. Rheeder A. Artificial intelligence and diagnostic healthcare: A Protestant perspective. In die Skriflig/In Luce Verbi 2025;59(1) View
  4. Farooq Ahmad H, Sajid J, Ur Rasool R, Malik A. Beyond the hype: exploring the impact, challenges, and potential of large language models in healthcare. Cluster Computing 2025;28(16) View

Books/Policy Documents

  1. Nwosu A, Stanley S, Norris J, Taubert M. Technologies in Palliative Care for Older People. View