ArticleExperimental hematology & oncology2024
Exploring whether ChatGPT-4 with image analysis capabilities can diagnose osteosarcoma from X-ray images.
Article in Experimental hematology & oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Multimodal AI and single-cell transcriptomics integrate to construct a histopathological prognostic model for bladder cancer, revealing the RTN3-glycolysis axis in chemoresistance.Experimental hematology & oncology · 2026Article
- Prospective quantitative analysis of hyperparameter and input optimization in GPT-5: comparative contribution to radiologist performance in abdominal radiology.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Article
- Biology-informed risk stratification of glioblastoma by integrating MRI-based intratumoral heterogeneity with clinical features: a multicenter validation study.Experimental hematology & oncology · 2026Article
- Bot vs. doc-who is better at reading proximal humerus fracture x-rays?JSES international · 2026Article
- Artificial Intelligence Versus Human Dental Expertise in Diagnosing Periapical Pathosis on Periapical Radiographs: A Multicenter Study.Bioengineering (Basel, Switzerland) · 2026Article
- AI-Assisted Diagnostic Evaluation of IHC in Forensic Pathology: A Comparative Study with Human Scoring.Diagnostics (Basel, Switzerland) · 2025Article
- Assessing the Clinical Utility of Multimodal Large Language Models in the Diagnosis and Management of Pigmented Choroidal Lesions.Translational vision science & technology · 2025Article
- From Description to Diagnostics: Assessing AI's Capabilities in Forensic Gunshot Wound Classification.Diagnostics (Basel, Switzerland) · 2025Article
- Diagnostic Performance of ChatGPT-4o in Analyzing Oral Mucosal Lesions: A Comparative Study with Experts.Medicina (Kaunas, Lithuania) · 2025Article
- Artificial Intelligence in Primary Malignant Bone Tumor Imaging: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
- Can AI-Based ChatGPT Models Accurately Analyze Hand-Wrist Radiographs? A Comparative Study.Diagnostics (Basel, Switzerland) · 2025Article
- Predicting Immunotherapy Response in Unresectable Hepatocellular Carcinoma: A Comparative Study of Large Language Models and Human Experts.Journal of medical systems · 2025Article
- A systematic review and meta-analysis of GPT-based differential diagnostic accuracy in radiological cases: 2023-2025.Frontiers in radiology · 2025Article
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Authors and funding
6 authors.
Funding
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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