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Chungbuk National University

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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.