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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

Cited 0|Views6
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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ChatGPT-4,X-ray image,Osteosarcoma,Diagnosis
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Chat Paper

要点】:本文探讨了ChatGPT-4在识别X射线图像中的骨肉瘤的诊断能力,发现其对于显著占位性病变的识别较为准确,但在区分骨骼恶性病变与正常组织方面能力有限。

方法】:通过使用ChatGPT-4模型,该模型结合了文本和图像输入,对X射线图像进行分析。

实验】:研究使用了X射线图像数据集进行实验,结果表明ChatGPT-4在骨肉瘤诊断上存在局限性。