Evaluating the performance of five large language models in answering Delphi consensus questions relating to patellar instability and medial patellofemoral ligament reconstruction

Abstract Purpose Artificial intelligence (AI) has become incredibly popular over the past several years, with large language models (LLMs) offering the possibility of revolutionizing the way healthcare information is shared with patients. However, to prevent the spread of misinformation, analyzing t...

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Detaylı Bibliyografya
Asıl Yazarlar:	Prushoth Vivekanantha, Dan Cohen, David Slawaska-Eng, Kanto Nagai, Magdalena Tarchala, Bogdan Matache, Laurie Hiemstra, Robert Longstaffe, Bryson Lesniak, Amit Meena, Sachin Tapasvi, Petri Sillanpäa, Patrick Grzela, Daniel Lamanna, Kristian Samuelsson, Darren de SA
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	BMC 2025-11-01
Seri Bilgileri:	BMC Musculoskeletal Disorders
Konular:	Large language models Chatbots Artificial intelligence Patellar instability Medial patellofemoral ligament reconstruction
Online Erişim:	https://doi.org/10.1186/s12891-025-09227-1
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Evaluating the performance of five large language models in answering Delphi consensus questions relating to patellar instability and medial patellofemoral ligament reconstruction

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