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

RCTs - Protocols/Proposals (eHealth) (443) Artificial Intelligence (827) Decision Support for Health Professionals (854) Imaging Informatics (154) Clinical Informatics (656) Machine Learning (1122) Clinical Information and Decision Making (1042)

Published on in Vol 11 , No 11 (2022) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39536, first published .
Developing an Artificial Intelligence Model for Reading Chest X-rays: Protocol for a Prospective Validation Study

Developing an Artificial Intelligence Model for Reading Chest X-rays: Protocol for a Prospective Validation Study

Developing an Artificial Intelligence Model for Reading Chest X-rays: Protocol for a Prospective Validation Study

Authors of this article:

Queralt Miró Catalina 1, 2 Author Orcid Image ;   Aïna Fuster-Casanovas 1, 2 Author Orcid Image ;   Jordi Solé-Casals 3, 4 Author Orcid Image ;   Josep Vidal-Alaball 1, 2, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations (20) Metrics

Journals

  1. Escalé-Besa A, Yélamos O, Vidal-Alaball J, Fuster-Casanovas A, Miró Catalina Q, Börve A, Ander-Egg Aguilar R, Fustà-Novell X, Cubiró X, Rafat M, López-Sanchez C, Marin-Gomez F. Exploring the potential of artificial intelligence in improving skin lesion diagnosis in primary care. Scientific Reports 2023;13(1) View
  2. Vasilev Y, Vladzymyrskyy A, Omelyanskaya O, Blokhin I, Kirpichev Y, Arzamasov K. AI-Based CXR First Reading: Current Limitations to Ensure Practical Value. Diagnostics 2023;13(8):1430 View

Books/Policy Documents

  1. Robbins P. One Health. View