Michael B Eppler, Conner Ganjavi, J Everett Knudsen, Ryan J Davis, Oluwatobiloba Ayo-Ajibola, Aditya Desai, Lorenzo Storino Ramacciotti, Andrew Chen, Andre De Castro Abreu, Mihir M Desai, Inderbir S Gill, Giovanni E Cacciamani
Bridging the Gap Between Urological Research and Patient Understanding: The Role of Large Language Models in Automated Generation of Layperson's Summaries
Urology practice
large language model type artificial intelligence ai model opens great possibilities health care practice research education although scholars emphasized need proactively address issue unvalidated inaccurate information regarding use one bestknown large language models chatgpt openai believed great help medical research facilitates efficient data set analysis code generation literature review allowing researchers focus experimental design well drug discovery development study aims explore potential chatgpt realtime literature search tool systematic reviews clinical decision support systems enhance efficiency accuracy health care settings search results published systematic review human experts treatment peyronie disease selected benchmark literature search formula study applied chatgpt microsoft bing ai comparison human researchers peyronie disease typically presents discomfort curvature deformity penis association palpable plaques erectile dysfunction evaluate quality individual studies derived ai answers created structured rating system based bibliographic information related publications classified answers 4 grades title existed b c f grade given fake title answer chatgpt 7 05 1287 identified studies directly relevant whereas bing ai resulted 19 40 relevant studies 48 compared human benchmark 24 studies qualitative evaluation chatgpt 7 grade 18 grade b 167 grade c 211 grade f studies bing ai 19 grade 28 grade c studies first study compare ai conventional human systematic review methods realtime literature collection tool evidencebased medicine results suggest use chatgpt tool realtime evidence generation yet accurate feasible therefore researchers cautious using ai limitations study using generative pretrained transformer model search research topics diverse prevent hallucination generative ai however study serve standard future studies providing index verify reliability consistency generative ai users point view reliability consistency ai literature search services verified use technologies help medical research greatly