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1,213 claims from 764 papers are on the record. 45 have been checked so far; the other 1,168 have no check with a result yet.

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Status: Unchecked ×Keyword: multimodal large language models ×Clear all

4 claims from 3 papers

1. Medicine › Artificial Intelligence in Healthcare and Education

   Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline

   Li, Fu and Python · Journal of Medical Internet Research · 2025

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   1. Unchecked“GPT-3.5 and GPT-4 were the most versatile models in the 5-stage clinical workflow, applied to 52% (29/56) and 71% (40/56) of the clinical subtasks, respectively, and they performed best in 29% (16/56) and 54% (30/56) of the clinical subtasks, respectively.”
   2. Unchecked“However, we did not find evidence of generalist clinical LLMs successfully applicable to a wide range of clinical tasks.”

2. Medicine › Artificial Intelligence in Healthcare and Education

   From screens to scenes: A survey of embodied AI in healthcare

   Liu, Cao, Chen et al. · Information Fusion · 2025

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   1. Unchecked“Despite its promise, the development of EmAI for healthcare is hindered by critical challenges such as safety concerns, gaps between simulation platforms and real-world applications, the absence of standardized benchmarks, and uneven progress across interdis…

3. Computer Science › Multimodal Machine Learning Applications

   Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports

   Zhang, Pan, Zhong et al. · arXiv (Cornell University) · 2024

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   1. Unchecked“Conversely, GPT-series models exhibited proficiency in lesion segmentation and anatomical localization but encountered difficulties in disease diagnosis and lesion detection.”