151. Exploring whether ChatGPT-4 with image analysis capabilities can diagnose osteosarcoma from X-ray images.
- Author
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Ren, Yi, Guo, Yusheng, He, Qingliu, Cheng, Zhixuan, Huang, Qiming, and Yang, Lian
- Subjects
CHATGPT ,X-ray imaging ,IMAGE analysis ,OSTEOSARCOMA ,IMAGE recognition (Computer vision) - Abstract
The generation of radiological results from image data represents a pivotal aspect of medical image analysis. The latest iteration of ChatGPT-4, a large multimodal model that integrates both text and image inputs, including dermatoscopy images, histology images, and X-ray images, has attracted considerable attention in the field of radiology. To further investigate the performance of ChatGPT-4 in medical image recognition, we examined the ability of ChatGPT-4 to recognize credible osteosarcoma X-ray images. The results demonstrated that ChatGPT-4 can more accurately diagnose bone with or without significant space-occupying lesions but has a limited ability to differentiate between malignant lesions in bone compared to adjacent normal tissue. Thus far, the current capabilities of ChatGPT-4 are insufficient to make a reliable imaging diagnosis of osteosarcoma. Therefore, users should be aware of the limitations of this technology. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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