Artificial intelligence-large language models (AI-LLMs) for reliable and accurate cardiotocography (CTG) interpretation in obstetric practice
ChatGPT-4o demonstrated superior performance among the AI-LLMs, surpassed JHDs in CTG interpretation, and closely matched the performance level of SHDs. AI-LLMs, particularly ChatGPT-4o, are promising tools for assisting obstetricians, improving diagnostic accuracy, and enhancing obstetric patient care.
Authors
- Muhammad Ilham Aldika Akbar (ORCID: https://orcid.org/0000-0002-2003-9282)
- Dharma PP Banjarnahor (ORCID: https://orcid.org/0000-0003-2020-8581)
- Khanisyah Erza Gumilar (ORCID: https://orcid.org/0000-0002-5050-2370)
- Ming Tan
- Armen Putra
- Chien‐Hsing Lu (ORCID: https://orcid.org/0000-0001-7860-4320)
- Manggala Pasca Wardhana (ORCID: https://orcid.org/0000-0001-8013-4639)
- Erry Gumilar Dachlan (ORCID: https://orcid.org/0000-0002-1194-0597)
- Ita Fatati
- Yu‐Cheng Hsu (ORCID: https://orcid.org/0000-0002-3722-664X)
- Zih-Ying Yu
- Li-Na Liao
- Ryan Saktika Mulyana
Institutions
- Udayana University (ID)
- China Medical University (TW)
- Universitas Airlangga (ID)
- Taichung Veterans General Hospital (TW)
- Universitas Dr. Soetomo (ID)
Publication Details
- Journal
- Computational and Structural Biotechnology Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.csbj.2025.03.026
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.93
Funders
- Ministry of Education
- China Medical University
- China Medical University, Taiwan
- National Science and Technology Council