Fine-tuning Llama-2-13B with AI-generated medical diagnoses: A novel strategy for optimizing ICD coding in gynecologic oncology.
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| Title: | Fine-tuning Llama-2-13B with AI-generated medical diagnoses: A novel strategy for optimizing ICD coding in gynecologic oncology. |
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| Authors: | Liang YL; Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Graduate Institute of Clinical Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Chen CF; Division of Chest Medicine, Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; School of Medicine, College of Medicine, Chung Shan Medical University, Taichung, Taiwan., Wu MH; Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Obstetrics and Gynecology, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Hsu KF; Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Graduate Institute of Clinical Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Chang PT; Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Chuang YJ; Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Chen PF; Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Obstetrics and Gynecology, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Quality Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan. Electronic address: vicentidoc@gmail.com. |
| Source: | Taiwanese journal of obstetrics & gynecology [Taiwan J Obstet Gynecol] 2025 Nov; Vol. 64 (6), pp. 978-984. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Elsevier Country of Publication: China (Republic : 1949- ) NLM ID: 101213819 Publication Model: Print Cited Medium: Internet ISSN: 1875-6263 (Electronic) Linking ISSN: 10284559 NLM ISO Abbreviation: Taiwan J Obstet Gynecol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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