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

RCTs - Protocols/Proposals (eHealth) (665) Artificial Intelligence (2123) Decision Support for Health Professionals (1538) Imaging Informatics (302) Clinical Informatics (1325) Machine Learning (2074) Clinical Information and Decision Making (1914)

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 Catalina1, 2 Author Orcid Image ;   Aïna Fuster-Casanovas1, 2 Author Orcid Image ;   Jordi Solé-Casals3, 4 Author Orcid Image ;   Josep Vidal-Alaball1, 2, 5 Author Orcid Image
Article Authors Cited by (11) 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
  3. Miró Catalina Q, Femenia J, Fuster-Casanovas A, Marin-Gomez F, Escalé-Besa A, Solé-Casals J, Vidal-Alaball J. Knowledge and Perception of the Use of AI and its Implementation in the Field of Radiology: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e50728 View
  4. Catalina Q, Fuster-Casanovas A, Vidal-Alaball J, Escalé-Besa A, Marin-Gomez F, Femenia J, Solé-Casals J. Knowledge and perception of primary care healthcare professionals on the use of artificial intelligence as a healthcare tool. DIGITAL HEALTH 2023;9 View
  5. Vasilev Y, Vladzymyrskyy A, Arzamasov K, Pestrenin L, Shulkin I. A New Model of Organizing Mass Screening Based on Stand-Alone Artificial Intelligence Used for Fluorography Image Triage. ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT 2023:23 View
  6. Miró Catalina Q, Vidal-Alaball J, Fuster-Casanovas A, Escalé-Besa A, Ruiz Comellas A, Solé-Casals J. Real-world testing of an artificial intelligence algorithm for the analysis of chest X-rays in primary care settings. Scientific Reports 2024;14(1) View
  7. Vasilev Y, Vladzymyrskyy A, Arzamasov K, Shulkin I, Astapenko E, Pestrenin L. Limitations of using artificial intelligence services to analyze chest x-ray imaging. Digital Diagnostics 2024;5(3):407 View
  8. Dharmik A. COVID-19 Pneumonia Diagnosis Using Medical Images: Deep Learning–Based Transfer Learning Approach. JMIRx Med 2025;6:e75015 View

Books/Policy Documents

  1. Robbins P. One Health. View
  2. Grootjans W, van Buchem M. AI Implementation in Radiology. View

Conference Proceedings

  1. Muhamad Adnan M, Fatimah Mohamed S, Ahmad N, Naqibah Binti Annual N, Abadi S, Husain N. 2023 International Conference on Disruptive Technologies (ICDT). AI Meets Entrepreneurship: A Framework of Web Platform for Enhancing Skills, Streamlining Finance and Identifying Multiple Intelligence View