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

Formative Evaluation of Digital Health Interventions (3272) Artificial Intelligence (2162) Computer-Aided Diagnosis (255) Responsible Health AI (56) AI Language Models in Health Care (208) Research Methodology - AI (39) Imaging Informatics (308)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77482, first published .
Explainable AI-Driven Analysis of Radiology Reports Using Text and Image Data: Experimental Study

Explainable AI-Driven Analysis of Radiology Reports Using Text and Image Data: Experimental Study

Explainable AI-Driven Analysis of Radiology Reports Using Text and Image Data: Experimental Study

Authors of this article:

Muhammad Tayyab Zamir1 Author Orcid Image ;   Safir Ullah Khan2 Author Orcid Image ;   Alexander Gelbukh1 Author Orcid Image ;   Edgardo Manuel Felipe Riverón1 Author Orcid Image ;   Irina Gelbukh1 Author Orcid Image
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Muhammad Tayyab Zamir   1 * , MPhil ;   Safir Ullah Khan   2 * , PhD ;   Alexander Gelbukh   1 , PhD ;   Edgardo Manuel Felipe Riverón   1 , PhD ;   Irina Gelbukh   1 , PhD

1 Centro de Investigación en Computación (CIC), Instituto Politécnico Nacional (IPN), Ciudad de México, CDMX, Mexico

2 Department of Cell Biology, Center for Research and Advanced Studies of the National Polytechnic Institute, Ciudad de México, CDMX, Mexico

*these authors contributed equally

Corresponding Author:

  • Alexander Gelbukh, PhD
  • Centro de Investigación en Computación (CIC)
  • Instituto Politécnico Nacional (IPN)
  • Avenida Juan de Dios Bátiz S/N, Gustavo A. Madero
  • Nueva Industrial Vallejo
  • Ciudad de México, CDMX 07700
  • Mexico
  • Phone: 52 5518104587
  • Email: gelbukh@cic.ipn.mx