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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

Journals

  1. Alsulami A, Abu Al-Haija Q, Alakhtar R, Alsobhi H, Alsemmeari R, Alturki B, Tayeb A. Improving Tree-Based Lung Disease Classification from Chest X-Ray Images Using Deep Feature Representations. Bioengineering 2026;13(3):267 View
  2. Quinsten A, Heße D. KI-Kompetenz für MTR/RT – ein Curriculum für Lehrende. Radiopraxis 2026;19(01):7 View
  3. Fayaz M, Hagsong K, Danish S, Dang L, Sadeghi-Niaraki A, Moon H. Demystifying Artificial Intelligence: A Systematic Review of Explainable Artificial Intelligence in Medical Imaging. Sensors 2026;26(7):2131 View
  4. Maciej Kokoszka , Michalina Chodór , Julia Maria Kuczkowska , Judyta Bordakiewicz , Zuzanna Michalska , Donata Pokorska , Julia Świechowska , Zuzanna Zarzycka , Ingrid Samberger , Magdalena Wiciak . ALGORITHMIC AUTHORITY VS. HUMAN TOUCH: A NARRATIVE REVIEW OF PATIENT TRUST AND CLINICAL AUTONOMY IN AI-ASSISTED DIAGNOSTICS. International Journal of Innovative Technologies in Social Science 2026;3(1(49)) View

Conference Proceedings

  1. Zamir M, Ullah F, Khan S, Nayim M, Bangyal W, Riverón E, Gelbukh A. 2026 7th International Conference on Advancements in Computational Sciences (ICACS). Comparative Study of CNN and Transformer Models for Thyroid Cancer Classification with Explainable AI View