Yonsei University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Acknowledging the use of human cadaveric tissues in research papers: Recommendations from anatomical journal editors
Joe Iwanaga, Vishram Singh, Aiji Ohtsuka et al.
2020 · 557 Zit.
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 · 468 Zit.
Standardized statement for the ethical use of human cadaveric tissues in anatomy research papers: Recommendations from <i>Anatomical Journal</i><scp>Editors‐in‐Chief</scp>
Joe Iwanaga, Vishram Singh, Sén Takeda et al.
2022 · 261 Zit.
What should medical students know about artificial intelligence in medicine?
Seong Ho Park, Kyung‐Hyun Do, Sung‐Won Kim et al.
2019 · 188 Zit.
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
J. M. Górriz, I. Álvarez, Agustín Álvarez-Marquina et al.
2023 · 179 Zit.
Artificial Intelligence in Health Care: Current Applications and Issues
Chan-Woo Park, Sung Wook Seo, Noeul Kang et al.
2020 · 156 Zit.
Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis
Seong Ho Park, Kyunghwa Han, Hye Young Jang et al.
2022 · 128 Zit.
A deep learning model for real-time mortality prediction in critically ill children
Soo Yeon Kim, Saehoon Kim, Joongbum Cho et al.
2019 · 119 Zit.
Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound
Su Yeon Ko, Ji Hye Lee, Jung Hyun Yoon et al.
2019 · 101 Zit.
The pace of artificial intelligence innovations: Speed, talent, and trial-and-error
Xuli Tang, Xin Li, Ying Ding et al.
2020 · 96 Zit.
Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks
Young Han Lee
2018 · 95 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 · 79 Zit.
Comparing Diagnostic Accuracy of Radiologists versus GPT-4V and Gemini Pro Vision Using Image Inputs from Diagnosis Please Cases
Pae Sun Suh, Woo Hyun Shim, Chong Hyun Suh et al.
2024 · 77 Zit.
Large Language Models: A Guide for Radiologists
Sunkyu Kim, Choong‐kun Lee, Seung‐seob Kim
2024 · 72 Zit.
Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting
Jiwoo Park, Kangrok Oh, Kyunghwa Han et al.
2024 · 70 Zit.