Kangbuk Samsung Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Large language models and their impact in ophthalmology
Bjorn Kaijun Betzler, Haichao Chen, Ching‐Yu Cheng et al.
2023 · 128 Zit.
Explainable AI in Clinical Decision Support Systems: A Meta-Analysis of Methods, Applications, and Usability Challenges
Qaiser Abbas, Woo-Min Jeong, Seung Won Lee
2025 · 54 Zit.
Comparing generative and retrieval-based chatbots in answering patient questions regarding age-related macular degeneration and diabetic retinopathy
Kai Xiong Cheong, Chenxi Zhang, Tien‐En Tan et al.
2024 · 26 Zit.
Machine learning model for predicting the optimal depth of tracheal tube insertion in pediatric patients: A retrospective cohort study
Jae‐Geum Shim, Kyoung‐Ho Ryu, Sung Hyun Lee et al.
2021 · 16 Zit.
Comparative Analysis of M4CXR, an LLM-Based Chest X-Ray Report Generation Model, and ChatGPT in Radiological Interpretation
Ro Woon Lee, Kyu Hong Lee, Jae Sung Yun et al.
2024 · 14 Zit.
Automated Diagnosis of Knee Osteoarthritis Using ResNet101 on a DEEP:PHI: Leveraging a No-Code AI Platform for Efficient and Accurate Medical Image Analysis
Kyu Hong Lee, Ro Woon Lee, Jaesung Yun et al.
2024 · 10 Zit.
Quality assessment of stroke radiomics studies: Promoting clinical application
Beomseok Sohn, So Yeon Won
2023 · 9 Zit.
The Role of Artificial Intelligence in Obesity Medicine
Dong Wook Kim, Cheol-Young Park, Jeong‐Hun Shin et al.
2024 · 8 Zit.
Machine learning-based prediction of the necessity for the surgical treatment of distal radius fractures
Jongmin Lim, Sehun Chang, K H Kim et al.
2025 · 5 Zit.
Artificial intelligence for mental health: A narrative review of applications, challenges, and future directions in digital health
Maisam Ali, Shahid Ali, Qaiser Abbas et al.
2025 · 3 Zit.
From Code to Cure: Unleashing the Power of Generative Artificial Intelligence in Medicine
Young Sam Cho
2023 · 3 Zit.
Confidence-linked and uncertainty-based staged framework for phenotype validation using large language models
Sumin Lee, Hyeok‐Hee Lee, Hokyou Lee et al.
2025 · 2 Zit.
Artificial Intelligence-Driven Drafting of Chest X-Ray Reports: 2025 Position Statement From the Korean Society of Thoracic Radiology Based on an Expert Survey
Won Gi Jeong, Eui Jin Hwang, Gong Yong Jin et al.
2025 · 2 Zit.
Evaluating diagnostic accuracy of large language models in neuroradiology cases using image inputs from JAMA neurology and JAMA clinical challenges
Ahmed Albaqshi, Ji Su Ko, Chong Hyun Suh et al.
2025 · 1 Zit.
Evaluating guideline adherence in LLM studies using LLMs
Ji Su Ko, Hwon Heo, Chong Hyun Suh et al.
2026 · 0 Zit.