A research team conducted a meta-analysis of the diagnostic capabilities of generative AI in the field of medicine using 83 research papers.
A research team conducted a meta-analysis of the diagnostic capabilities of generative AI in the field of medicine using 83 research papers. The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic.
However, because the evaluation criteria were different for each study, a comprehensive analysis was needed to determine the extent AI could be used in actual medical settings and what advantages it featured in comparison to doctors. A research group led by Dr. Hirotaka Takita and Associate Professor Daiju Ueda at Osaka Metropolitan University's Graduate School of Medicine conducted a meta-analysis of generative AI's diagnostic capabilities using 83 research papers published between June 2018 and June 2024 that covered a wide range of medical specialties. Of the large language models that were analyzed, ChatGPT was the most commonly studied. The comparative evaluation revealed that medical specialists had a 15.8% higher diagnostic accuracy than generative AI. The average diagnostic accuracy of generative AI was 52.1%, with the latest models of generative AI sometimes showing accuracy on par with non-specialist doctors. "This research shows that generative AI's diagnostic capabilities are comparable to non-specialist doctors. It could be used in medical education to support non-specialist doctors and assist in diagnostics in areas with limited medical resources." stated Dr. Takita."Further research, such as evaluations in more complex clinical scenarios, performance evaluations using actual medical records, improving the transparency of AI decision-making, and verification in diverse patient groups, is needed to verify AI's capabilities." Hirotaka Takita, Daijiro Kabata, Shannon L. Walston, Hiroyuki Tatekawa, Kenichi Saito, Yasushi Tsujimoto, Yukio Miki, Daiju Ueda.A research team has focused on generative AI as an information-gathering tool in the medical field. The results showed that one of the generative AIs suggested mostly fictitious references, while the ... A person's blood type may be linked to their risk of having an early stroke, according to a new meta-analysis. The meta-analysis included all available data from genetic studies focusing on ischemic ... An extensive meta-analysis suggests that vitamin D supplementation may alleviate depressive symptoms in adults with depression. Conducted by an international team of researchers, the meta-analysis ... As interest in the application of plasma medicine -- the use of low-temperature plasma created by an electrical discharge to address medical problems -- continues to grow, so does the need for ...Simulate Sound in 3D at a Finer Scale Than Humans Can PerceiveMan's Best Friend May Be Nature's Worst Enemy, Study on Pet Dogs Suggests
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