Severance 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 · 431 Zit.
What should medical students know about artificial intelligence in medicine?
Seong Ho Park, Kyung‐Hyun Do, Sung‐Won Kim et al.
2019 · 185 Zit.
Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms
Tyler Hyungtaek Rim, Geunyoung Lee, Youngnam Kim et al.
2020 · 162 Zit.
Artificial Intelligence in Health Care: Current Applications and Issues
Chan-Woo Park, Sung Wook Seo, Noeul Kang et al.
2020 · 152 Zit.
The impact of artificial intelligence on the reading times of radiologists for chest radiographs
Hyun Joo Shin, Kyunghwa Han, Leeha Ryu et al.
2023 · 78 Zit.
Large Language Models: A Guide for Radiologists
Sunkyu Kim, Choong‐kun Lee, Seung‐seob Kim
2024 · 70 Zit.
Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network
Jieun Koh, Eunjung Lee, Kyunghwa Han et al.
2020 · 59 Zit.
Artificial intelligence to predict the BRAFV600E mutation in patients with thyroid cancer
Jiyoung Yoon, Eunjung Lee, Ja Seung Koo et al.
2020 · 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 · 43 Zit.
Causes for Retraction in the Biomedical Literature: A Systematic Review of Studies of Retraction Notices
Soo Young Hwang, Dong Keon Yon, Seung Won Lee et al.
2023 · 40 Zit.
Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs
Hyun Joo Shin, Nak‐Hoon Son, Min Jung Kim et al.
2022 · 39 Zit.
Defining Medical AI Competencies for Medical School Graduates: Outcomes of a Delphi Survey and Medical Student/Educator Questionnaire of South Korean Medical Schools
Young‐Mee Lee, Suyoun Kim, Young‐Hee Lee et al.
2023 · 38 Zit.
Exploiting the Vulnerability of Deep Learning-Based Artificial Intelligence Models in Medical Imaging: Adversarial Attacks
Hwiyoung Kim, Dae Chul Jung, Byoung Wook Choi
2019 · 33 Zit.
Evaluation of GPT-4 for 10-year cardiovascular risk prediction: Insights from the UK Biobank and KoGES data
Changho Han, Dong Won Kim, Songsoo Kim et al.
2024 · 30 Zit.
Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice
Seungsoo Lee, Hyun Joo Shin, Sung‐Won Kim et al.
2022 · 29 Zit.