Visual-textual integration in LLMs for medical diagnosis: A preliminary quantitative analysis

Multimodal LLMs showed higher diagnostic accuracy than physicians in text-only scenarios, even in cases designed to require visual interpretation, suggesting that while images can enhance diagnostic accuracy, they may not be essential in every instance. Although adding images further improved LLM performance, the magnitude of this improvement was smaller than that observed in physicians. These findings suggest that enhanced visual data processing may be needed for LLMs to achieve the degree of image-related performance gains seen in human examiners.

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Publication Details

Journal
Computational and Structural Biotechnology Journal
Published
2024-12-21
DOI
https://doi.org/10.1016/j.csbj.2024.12.019
Citations
8
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
1.87
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article

Visual-textual integration in LLMs for medical diagnosis: A preliminary quantitative analysis

Benjamin Scott Glicksberg, Eyal Klang, Mahmud Omar, Girish N. Nadkarni et al.
8 citations
Computational and Structural Biotechnology Journal
Biomedical Text Mining and Ontologies
1.87
article

Visual-textual integration in LLMs for medical diagnosis: A preliminary quantitative analysis

Benjamin Scott Glicksberg, Eyal Klang, Mahmud Omar, Girish N. Nadkarni, Shelly Soffer, Reem Agbareia
article en
8 citations

Abstract

Multimodal LLMs showed higher diagnostic accuracy than physicians in text-only scenarios, even in cases designed to require visual interpretation, suggesting that while images can enhance diagnostic accuracy, they may not be essential in every instance. Although adding images further improved LLM performance, the magnitude of this improvement was smaller than that observed in physicians. These findings suggest that enhanced visual data processing may be needed for LLMs to achieve the degree of image-related performance gains seen in human examiners.

Computational and Structural Biotechnology JournalVol. 27
Hadassah Medical Center (IL), Rabin Medical Center (IL), Icahn School of Medicine at Mount Sinai (US)
Quality Education
Openalex Percentile: Top 14%
Biomedical Text Mining and Ontologies
1.87
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Visual-textual integration in LLMs for medical diagnosis: A preliminary quantitative analysis — Benjamin Scott Glicksberg, Eyal Klang, et al. · Computational and Structural Biotechnology Journal (2024) | TGRS Research Map | TGRS