Exploring Whether ChatGPT-4 with Image Analysis Capabilities Can Diagnose Osteosarcoma from X-ray Images
EXPERIMENTAL HEMATOLOGY & ONCOLOGY(2024)
Union Hospital | The Second Affiliated Hospital of Fujian Medical University
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.
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Key words
ChatGPT-4,X-ray image,Osteosarcoma,Diagnosis
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