National Cancer Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis
Seong Ho Park, Kyunghwa Han, Hye Young Jang et al.
2022 · 117 Zit.
Inconsistency in the use of the term “validation” in studies reporting the performance of deep learning algorithms in providing diagnosis from medical imaging
Dong Wook Kim, Hye Young Jang, Yousun Ko et al.
2020 · 23 Zit.
Improved Diagnostic Accuracy of Thyroid Fine-Needle Aspiration Cytology with Artificial Intelligence Technology
Yujin Lee, Rizwan Alam, Hongsik Park et al.
2024 · 22 Zit.
A Personalized 3D-Printed Model for Obtaining Informed Consent Process for Thyroid Surgery: A Randomized Clinical Study Using a Deep Learning Approach with Mesh-Type 3D Modeling
Jungirl Seok, Sungmin Yoon, Chang Hwan Ryu et al.
2021 · 16 Zit.
Mesh-Type Three-Dimensional (3D) Printing of Human Organs and Tumors: Fast, Cost-Effective, and Personalized Anatomic Modeling of Patient-Oriented Visual Aids
Jungirl Seok, Sungmin Yoon, Chang Hwan Ryu et al.
2021 · 9 Zit.
Getting patient blood management Pillar 1 right in the Asia-Pacific: a call for action
Hairil Rizal Abdullah, AL Ang, Bernd Froessler et al.
2019 · 8 Zit.
Prediction of Cancer Patient Outcomes Based on Artificial Intelligence
Suk Lee, Eunbin Ju, Suk Woo Choi et al.
2019 · 6 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.
Mesh-type 3D Printing of Human Organs and Tumors: Fast, Cost-Effective, and Personalized Anatomic Modeling
Jungirl Seok, Sungmin Yoon, Chang Hwan Ryu et al.
2020 · 2 Zit.
Comparative feasibility of reasoning and non-reasoning large language models for gynecologic cancer emergency care
Jun Hwan Kim, Uisuk Kim, Jae Kyung Bae et al.
2025 · 0 Zit.
Promises and Perils of Artificial Intelligence in Surgery: The Critical Pathways for Successful Healthcare Outcomes
Young‐Woo Kim, Andreas Melzer, Susie Kim et al.
2024 · 0 Zit.
The role of artificial intelligence in advancing population-based cancer registration
Shuai Ding, Mingyuan Liu, Hao Wang et al.
2026 · 0 Zit.
Perceptions and Readiness for Generative Artificial Intelligence Implementation Among Oncology Nurses: A Qualitative Study in a Specialized Cancer Hospital
Ji-Young Han, Kum Hei Ryu, Meeyoung Kim et al.
2025 · 0 Zit.
Feasibility of ChatGPT-4o in management of gynecologic oncologic patients in the emergency department.
Junhwan Kim, Uisuk Kim, Jaekyung Bae et al.
2025 · 0 Zit.
Response to Comments on “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, Eun Jung Choi
2026 · 0 Zit.