Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55627, first published .
Evaluating ChatGPT-4’s Diagnostic Accuracy: Impact of Visual Data Integration

Evaluating ChatGPT-4’s Diagnostic Accuracy: Impact of Visual Data Integration

Evaluating ChatGPT-4’s Diagnostic Accuracy: Impact of Visual Data Integration

Journals

  1. Hirosawa T, Harada Y, Mizuta K, Sakamoto T, Tokumasu K, Shimizu T. Diagnostic performance of generative artificial intelligences for a series of complex case reports. DIGITAL HEALTH 2024;10 View
  2. Hirosawa T, Harada Y, Tokumasu K, Ito T, Suzuki T, Shimizu T. Comparative Study to Evaluate the Accuracy of Differential Diagnosis Lists Generated by Gemini Advanced, Gemini, and Bard for a Case Report Series Analysis: An Experimental Study (Preprint). JMIR Medical Informatics 2024 View
  3. Liu C, Ho C, Wu T. Custom GPTs Enhancing Performance and Evidence Compared with GPT-3.5, GPT-4, and GPT-4o? A Study on the Emergency Medicine Specialist Examination. Healthcare 2024;12(17):1726 View
  4. Diniz‐Freitas M, Lago‐Méndez L, Limeres‐Posse J, Diz‐Dios P. Challenging ChatGPT‐4V for the Diagnosis of Oral Diseases and Conditions. Oral Diseases 2024 View