Catholic University of Korea

Artificial Intelligence in Pathology

Hye Yoon Chang, Chan Kwon Jung, Junwoo Isaac Woo et al.

2018 · 245 Zit.

Artificial Intelligence in Health Care: Current Applications and Issues

Chan-Woo Park, Sung Wook Seo, Noeul Kang et al.

2020 · 156 Zit.

AI in Medical Education: Global situation, effects and challenges

Wei Zhang, Mingxuan Cai, Hong Joo Lee et al.

2023 · 135 Zit.

A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate

David Winkel, Angela Tong, Bin Lou et al.

2021 · 110 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 · 72 Zit.

Embracing the ChatGPT revolution: unlocking new horizons for tourism

Ji Shi, Minwoo Lee, V.G. Girish et al.

2024 · 67 Zit.

Prospect of Artificial Intelligence Based on Electronic Medical Records

Suehyun Lee, Hun‐Sung Kim

2021 · 66 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.

Recent Application of Artificial Intelligence in Non-Gynecological Cancer Cytopathology: A Systematic Review

Nishant Thakur, Rizwan Alam, Jamshid Abdul‐Ghafar et al.

2022 · 58 Zit.

Predicting medical specialty from text based on a domain-specific pre-trained BERT

Yoojoong Kim, Jong-Ho Kim, Youngmin Kim et al.

2022 · 48 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 · 47 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 · 44 Zit.

Detection and PI-RADS classification of focal lesions in prostate MRI: Performance comparison between a deep learning-based algorithm (DLA) and radiologists with various levels of experience

Seo Yeon Youn, Moon Hyung Choi, Dong Hwan Kim et al.

2021 · 43 Zit.

Deep convolutional neural network for classification of thyroid nodules on ultrasound: Comparison of the diagnostic performance with that of radiologists

Yeon-Jae Kim, Yangsean Choi, Su-Jin Hur et al.

2022 · 36 Zit.

Decision-Making in Artificial Intelligence: Is It Always Correct?

Hun‐Sung Kim

2019 · 32 Zit.