Seoul National University Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 456 Zit.
Developing prompts from large language model for extracting clinical information from pathology and ultrasound reports in breast cancer
Hyeon Seok Choi, Jun Yeong Song, Kyung Hwan Shin et al.
2023 · 126 Zit.
Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography
Jae Won Choi, Yeon Jin Cho, Seowoo Lee et al.
2019 · 107 Zit.
Preoperative CT Classification of the Resectability of Pancreatic Cancer: Interobserver Agreement
Ijin Joo, Jeong Min Lee, Eun Sun Lee et al.
2019 · 73 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.
Essential properties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review
Jinsun Jung, Hyungbok Lee, Hyunggu Jung et al.
2023 · 66 Zit.
Development of a Spine X-Ray-Based Fracture Prediction Model Using a Deep Learning Algorithm
Sung Hye Kong, Jae-Won Lee, Byeonguk Bae et al.
2022 · 56 Zit.
Real-time machine learning model to predict short-term mortality in critically ill patients: development and international validation
Leerang Lim, Ukdong Gim, Hwa Jin Cho et al.
2024 · 52 Zit.
Usefulness of artificial intelligence for predicting recurrence following surgery for pancreatic cancer: Retrospective cohort study
Kwang‐Sig Lee, Jin‐Young Jang, Young‐Dong Yu et al.
2021 · 50 Zit.
Effect of Human-AI Interaction on Detection of Malignant Lung Nodules on Chest Radiographs
Jong Hyuk Lee, Hyunsook Hong, Gunhee Nam et al.
2023 · 49 Zit.
Multi-center validation of machine learning model for preoperative prediction of postoperative mortality
Seung Wook Lee, Hyung‐Chul Lee, Jungyo Suh et al.
2022 · 48 Zit.
Artificial intelligence in perioperative medicine: a narrative review
Hyun‐Kyu Yoon, Hyun-Lim Yang, Chul-Woo Jung et al.
2022 · 47 Zit.
Artificial intelligence in orthopedics: three strategies for deep learning with orthopedic specific imaging
Sunho Ko, Ayoosh Pareek, Du Hyun Ro et al.
2022 · 46 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.
INSPIRE, a publicly available research dataset for perioperative medicine
Leerang Lim, Hyeonhoon Lee, Chul-Woo Jung et al.
2024 · 43 Zit.