Chungbuk National University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
Fausto Giunchiglia, Khuyagbaatar Batsuren, Gábor Bella
2017 · 225 Zit.
Explainable Artificial Intelligence Based Framework for Non-Communicable Diseases Prediction
Khishigsuren Davagdorj, Jang‐Whan Bae, Van-Huy Pham et al.
2021 · 59 Zit.
Assessment of the capacity of ChatGPT as a self-learning tool in medical pharmacology: a study using MCQs
Woong Choi
2023 · 43 Zit.
Development of AI-generated medical responses using the ChatGPT for cancer patients
Jae Wook Lee, In-Sang Yoo, Jihye Kim et al.
2024 · 33 Zit.
Machine learning to predict distal caries in mandibular second molars associated with impacted third molars
Sung-Hwi Hur, Eun-Young Lee, Min-Kyung Kim et al.
2021 · 17 Zit.
Use of SNOMED CT in Large Language Models: Scoping Review
Eunsuk Chang, Sumi Sung
2024 · 16 Zit.
Trends in the Approval and Quality Management of Artificial Intelligence Medical Devices in the Republic of Korea
Kyoungtaek Lim, Tae‐Young Heo, Jaesuk Yun
2022 · 11 Zit.
Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes
Santosh Chokkakula, Siomui Chong, Bing Xiang Yang et al.
2025 · 10 Zit.
Deep learning-based ultrasonographic classification of canine chronic kidney disease
Heejung Yu, Ingyu Lee, Jun-Young Oh et al.
2024 · 8 Zit.
Medication Extraction and Drug Interaction Chatbot: Generative Pretrained Transformer-Powered Chatbot for Drug-Drug Interaction
Won-Tae Kim, Jaegwang Shin, In-Sang Yoo et al.
2024 · 5 Zit.
Utilizing machine learning to discern hidden clinical values from big data in urology
Wun‐Jae Kim, Peng Jin, Won Hwa Kim et al.
2020 · 3 Zit.
Predicting 30-day mortality in severely injured elderly patients with trauma in Korea using machine learning algorithms: a retrospective study
Jonghee Han, Soo Young Yoon, Junepill Seok et al.
2024 · 3 Zit.
Assessment of the Capacity of ChatGPT as a Self-Learning Tool in Medical Pharmacology: A Study Using MCQs
Woong Choi
2023 · 3 Zit.
Assessing the ChatGPT aptitude: A competent and effective Dermatology doctor?
Chengxiang Lian, Xin Yuan, Santosh Chokkakula et al.
2024 · 3 Zit.
Performance evaluation of large language models on Korean medical licensing examination: a three-year comparative analysis
Hyun‐Jin Kim, Kiwook Jung, Sung-Hwan Shin et al.
2025 · 3 Zit.