Editorial Commentary: Artificial Intelligence and Language Learning Models Can Be Improved by Curated Input of Medical Training Data but Still Face the Limitations of Available Literature and Require Continued Human Oversight.
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| Title: | Editorial Commentary: Artificial Intelligence and Language Learning Models Can Be Improved by Curated Input of Medical Training Data but Still Face the Limitations of Available Literature and Require Continued Human Oversight. |
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| Authors: | Selman F; University of Zurich (F.S.); San Diego, California, U.S.A. (K.O., R.P.); University of Milan (V.V.)., Obletz K; University of Zurich (F.S.); San Diego, California, U.S.A. (K.O., R.P.); University of Milan (V.V.)., Vismara V; University of Zurich (F.S.); San Diego, California, U.S.A. (K.O., R.P.); University of Milan (V.V.)., Putko R; University of Zurich (F.S.); San Diego, California, U.S.A. (K.O., R.P.); University of Milan (V.V.)., Perry NPJ; University of Zurich (F.S.); San Diego, California, U.S.A. (K.O., R.P.); University of Milan (V.V.). |
| Source: | Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association [Arthroscopy] 2025 Aug; Vol. 41 (8), pp. 2758-2760. Date of Electronic Publication: 2025 Mar 27. |
| Publication Type: | Editorial |
| Journal Info: | Publisher: W.B. Saunders Co Country of Publication: United States NLM ID: 8506498 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-3231 (Electronic) Linking ISSN: 07498063 NLM ISO Abbreviation: Arthroscopy Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1526-3231 |
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| DOI: | 10.1016/j.arthro.2025.03.042 |
