Catholic University of Korea
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial Intelligence in Pathology
Hye Yoon Chang, Chan Kwon Jung, Junwoo Isaac Woo et al.
2018 · 244 Zit.
Artificial Intelligence in Health Care: Current Applications and Issues
Chan-Woo Park, Sung Wook Seo, Noeul Kang et al.
2020 · 152 Zit.
AI in Medical Education: Global situation, effects and challenges
Wei Zhang, Mingxuan Cai, Hong Joo Lee et al.
2023 · 128 Zit.
Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in a Real Health Care Environment
Haeyun Lee, Young Jun Chai, Hyunjin Joo et al.
2021 · 69 Zit.
Medical Big Data Is Not Yet Available: Why We Need Realism Rather than Exaggeration
Hun‐Sung Kim, Dai‐Jin Kim, Kun‐Ho Yoon
2019 · 65 Zit.
Prospect of Artificial Intelligence Based on Electronic Medical Records
Suehyun Lee, Hun‐Sung Kim
2021 · 65 Zit.
Embracing the ChatGPT revolution: unlocking new horizons for tourism
Ji Shi, Minwoo Lee, V.G. Girish et al.
2024 · 58 Zit.
Recent Application of Artificial Intelligence in Non-Gynecological Cancer Cytopathology: A Systematic Review
Nishant Thakur, Rizwan Alam, Jamshid Abdul‐Ghafar et al.
2022 · 57 Zit.
Predicting medical specialty from text based on a domain-specific pre-trained BERT
Yoojoong Kim, Jong-Ho Kim, Youngmin Kim et al.
2022 · 44 Zit.
Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape
Muhammad Joan Ailia, Nishant Thakur, Jamshid Abdul‐Ghafar et al.
2022 · 44 Zit.
Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology
Eui Jin Hwang, Jin Mo Goo, Soon Ho Yoon et al.
2021 · 43 Zit.
Decision-Making in Artificial Intelligence: Is It Always Correct?
Hun‐Sung Kim
2019 · 32 Zit.
Machine-Learning-Based Digital Twin System for Predicting the Progression of Prostate Cancer
Jae Kwon Kim, Sunjung Lee, Sung‐Hoo Hong et al.
2022 · 30 Zit.
CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases
Imjin Ahn, Wonjun Na, Osung Kwon et al.
2021 · 29 Zit.
Randomized Clinical Trials of Artificial Intelligence in Medicine: Why, When, and How?
Seong Ho Park, Joon‐Il Choi, Laure Fournier et al.
2022 · 27 Zit.