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

Machine Learning (1965) Imaging Informatics (280) Data Science (347) Medical imaging (91) Clinical Informatics (1256) Artificial Intelligence (1991) Methods and Instruments in Medical Informatics (179)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56627, first published .
Advancing Accuracy in Multimodal Medical Tasks Through Bootstrapped Language-Image Pretraining (BioMedBLIP): Performance Evaluation Study

Advancing Accuracy in Multimodal Medical Tasks Through Bootstrapped Language-Image Pretraining (BioMedBLIP): Performance Evaluation Study

Advancing Accuracy in Multimodal Medical Tasks Through Bootstrapped Language-Image Pretraining (BioMedBLIP): Performance Evaluation Study

Authors of this article:

Usman Naseem1 Author Orcid Image ;   Surendrabikram Thapa2 Author Orcid Image ;   Anum Masood3, 4, 5 Author Orcid Image
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  1. Sau S, George D, Singh R, Kohli G, Li A, Jalal M, Singh A, Furst T, Rahmani R, Vates G, Stone J. Accuracy and quality of ChatGPT-4o and Google Gemini performance on image-based neurosurgery board questions. Neurosurgical Review 2025;48(1) View

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  1. Nivedita M, Asnath Victy Phamila Y, Puram K, Fredrick J. Computer Vision and Image Processing. View

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  1. Thapa S, Naseem U, Zhou L, Kim J. Proceedings of the First International Workshop on Vision-Language Models for Biomedical Applications. Vision-Language Models for Biomedical Applications View