Yiliang Zhou

Sep 8, 2024 | nature.com | Qiao Jin |Yiliang Zhou |Song Wang |Jordan G. Nestor |Ali Soroush |Zhiyong Lu | +1 more

AbstractLarge language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary LLMs. Using proprietary LLMs introduces multiple risk factors, including a lack of transparency and vendor dependency. While open-source LLMs allow better transparency and customization, their performance falls short compared to the proprietary ones.

Jul 23, 2024 | nature.com | Qiao Jin |Fangyuan Chen |Yiliang Zhou |Justin F. Rousseau |Marc Landsman |Sally Baxter | +5 more

AbstractRecent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V) outperforms human physicians in medical challenge tasks. However, these evaluations primarily focused on the accuracy of multi-choice questions alone.