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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.
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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  Data: Fine-tuning Llama-2-13B with AI-generated medical diagnoses: A novel strategy for optimizing ICD coding in gynecologic oncology.
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  Data: <searchLink fieldCode="AU" term="%22Liang+YL%22">Liang YL</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Chen+CF%22">Chen CF</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Wu+MH%22">Wu MH</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Hsu+KF%22">Hsu KF</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Chang+PT%22">Chang PT</searchLink>; Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chuang+YJ%22">Chuang YJ</searchLink>; Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+PF%22">Chen PF</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22101213819%22">Taiwanese journal of obstetrics & gynecology</searchLink> [Taiwan J Obstet Gynecol] 2025 Nov; Vol. 64 (6), pp. 978-984.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>China (Republic : 1949- ) <i>NLM ID: </i>101213819 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1875-6263 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210284559%22">10284559 </searchLink><i>NLM ISO Abbreviation: </i>Taiwan J Obstet Gynecol <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.tjog.2025.02.006
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      – Code: eng
        Text: English
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            – D: 01
              M: 11
              Text: 2025 Nov
              Type: published
              Y: 2025
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