Multimodal Models Are Still a Novice at Radiology Vision
Author:
Affiliation:
1. From the Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD 21287.
Publisher
Radiological Society of North America (RSNA)
Link
http://pubs.rsna.org/doi/pdf/10.1148/radiol.242286
Reference9 articles.
1. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
2. Performance of ChatGPT on a Radiology Board-style Examination: Insights into Current Strengths and Limitations
3. GPT-4 in Radiology: Improvements in Advanced Reasoning
4. Performance of GPT-4 with Vision on Text- and Image-based ACR Diagnostic Radiology In-Training Examination Questions
5. Wu C, Lei J, Zheng Q, et al. Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosis. arXiv 2310.09909 [preprint] https://arxiv.org/abs/2310.09909. Published October 15, 2023. Accessed July 30, 2024.
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