Synho Do
Korea University · KR
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success
2018 · 695 Zit. · Journal of the American College of Radiology
Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability
2018 · 123 Zit. · Skeletal Radiology
Basics of Deep Learning: A Radiologist's Guide to Understanding Published Radiology Articles on Deep Learning
2019 · 111 Zit. · Korean Journal of Radiology
Tackling prediction uncertainty in machine learning for healthcare
2022 · 99 Zit. · Nature Biomedical Engineering
MarkIt: A Collaborative Artificial Intelligence Annotation Platform Leveraging Blockchain For Medical Imaging Research
2021 · 20 Zit. · Blockchain in Healthcare Today
The Latest Trends in the Use of Deep Learning in Radiology Illustrated Through the Stages of Deep Learning Algorithm Development
2019 · 13 Zit. · Journal of the Korean Society of Radiology
Conformal Triage for Medical Imaging AI Deployment
2024 · 5 Zit.
Explainable & Safe Artificial Intelligence in Radiology
2024 · 5 Zit. · Journal of the Korean Society of Radiology
A deep learning approach using an ensemble model to autocreate an image-based hip fracture registry
2024 · 3 Zit. · OTA International The Open Access Journal of Orthopaedic Trauma
Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis
2024 · 0 Zit. · arXiv (Cornell University)
Incorporating Algorithmic Uncertainty into a Clinical Machine Deep Learning Algorithm for Urgent Head CTs
2022 · 0 Zit.
Mapping the AI “Mind”: What the AI-STREAM Trial Reveals About Cancers Detected and Missed
2025 · 0 Zit. · Radiology Artificial Intelligence
Mo1106: SMALL AND EFFICIENT ARTIFICIAL INTELLIGENCE MODEL CAN DIFFERENTIATE HYPERPLASTIC POLYPS AND SESSILE SERRATED ADENOMAS/POLYPS
2022 · 0 Zit. · Gastroenterology