Medication Extraction and Drug Interaction Chatbot: Generative Pretrained Transformer-Powered Chatbot for Drug-Drug Interaction
By implementing MEDIC, contraindicated medications can be identified using only medication packaging, and users can be alerted to potential drug adverse effects, thereby contributing to advancements in patient care in clinical settings.
Authors
- Won-Tae Kim (ORCID: https://orcid.org/0000-0003-3426-3792)
- Hyun Jeong Jeon (ORCID: https://orcid.org/0000-0002-5928-1375)
- Seung Park (ORCID: https://orcid.org/0000-0003-2311-9306)
- Jae Wook Lee (ORCID: https://orcid.org/0000-0002-8756-0195)
- Woo Jung Lee (ORCID: https://orcid.org/0000-0001-9273-261X)
- Yong-June Kim (ORCID: https://orcid.org/0000-0002-7021-2450)
- Yongwhan Kim
- ShinJi Hwang
- Jeong-Min Jo
- In-Sang Yoo
- Jaegwang Shin
- Hyo-Sun Yoo
Institutions
- Chungbuk National University (KR)
- Chungbuk National University Hospital (KR)
Publication Details
- Journal
- Mayo Clinic Proceedings Digital Health
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1016/j.mcpdig.2024.09.001
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.60
Funders
- Ministry of Health and Welfare
- Korea Health Industry Development Institute