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

mHealth for Screening (213) Design and Formative Evaluation of Mobile Apps (694) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) mHealth in a Clinical Setting (615) mHealth for Wellness, Behavior Change and Prevention (2871) Mobile Health (mhealth) (2939) Chatbots and Conversational Agents (531)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46718, first published .
Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study

Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study

Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study

Authors of this article:

Kimberly Peven1 Author Orcid Image ;   Aidan P Wickham1 Author Orcid Image ;   Octavia Wilks1 Author Orcid Image ;   Yusuf C Kaplan1 Author Orcid Image ;   Andrei Marhol1 Author Orcid Image ;   Saddif Ahmed1 Author Orcid Image ;   Ryan Bamford1 Author Orcid Image ;   Adam C Cunningham1 Author Orcid Image ;   Carley Prentice1 Author Orcid Image ;   András Meczner2 Author Orcid Image ;   Matthew Fenech3 Author Orcid Image ;   Stephen Gilbert4 Author Orcid Image ;   Anna Klepchukova1 Author Orcid Image ;   Sonia Ponzo1 Author Orcid Image ;   Liudmila Zhaunova1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Graca S, Alloh F, Lagojda L, Dallaway A, Kyrou I, Randeva H, Kite C. Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review. Healthcare 2024;12(16):1671 View
  2. Widmer A. Digitale Gesundheits-Apps. Die Innere Medizin 2024 View