Dream Team Alert!
Watch @dlshung, @m_giuffre, & @EngKrese, lead authors of “Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework,” for tips on interdisciplinary work and their paper’s story.

8🏅 Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework nature.com/articles/s41746-0…

🌍 The top 10 most cited @npjDigitalMed papers of 2024 hail from across the globe! Check out our map to see where these groundbreaking studies originated. Ready to find out more? 👇😉

Studio UniTS nella top ten 2024 di Nature Digital Medicine L’articolo, realizzato in collaborazione con Yale University, ha visto il contributo del team di ricerca composto da Simone Kresevic, Miloš Ajčević e Agostino Accardo e Lory Saveria Crocè. ► u.garr.it/BVh7D