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Assessment of Large Language Models (LLMs) in decision-making support for gynecologic oncology
18
Zitationen
25
Autoren
2024
Jahr
Abstract
LLMs, especially GemAdv, show potential in supporting clinical practice by providing accurate, consistent, and relevant information for gynecologic cancer. However, further refinement is needed for more complex scenarios. This study highlights the promise of LLMs in gynecologic oncology, emphasizing the need for ongoing development and rigorous evaluation to maximize their clinical utility and reliability.
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Autoren
- Khanisyah Erza Gumilar
- Birama Robby Indraprasta
- Ach Salman Faridzi
- Bagus Mukti Wibowo
- Aditya Herlambang
- Eccita Rahestyningtyas
- Budi Irawan
- Zulkarnain Tambunan
- Ahmad Fadhli Bustomi
- Bagus Ngurah Brahmantara
- Zih-Ying Yu
- Yu-Cheng Hsu
- Herlangga Pramuditya
- Very Great Eka Putra
- Hari Nugroho
- Pungky Mulawardhana
- Brahmana Askandar Tjokroprawiro
- Tri Hedianto
- Ibrahim H. Ibrahim
- Jingshan Huang
- Dongqi Li
- Chien‐Hsing Lu
- Jer‐Yen Yang
- Li-Na Liao
- Ming Jen Tan