OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 26.04.2026, 21:35

Yonsei University

176.171 Arbeiten12.810.458 Zitationen
Land: KRTyp: education

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 · 551 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 · 453 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 · 255 Zit.

What should medical students know about artificial intelligence in medicine?

Seong Ho Park, Kyung‐Hyun Do, Sung‐Won Kim et al.

2019 · 187 Zit.

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

J. M. Górriz, I. Álvarez, Agustín Álvarez-Marquina et al.

2023 · 176 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 · 164 Zit.

Artificial Intelligence in Health Care: Current Applications and Issues

Chan-Woo Park, Sung Wook Seo, Noeul Kang et al.

2020 · 154 Zit.

Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis

Seong Ho Park, Kyunghwa Han, Hye Young Jang et al.

2022 · 125 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 pace of artificial intelligence innovations: Speed, talent, and trial-and-error

Xuli Tang, Xin Li, Ying Ding et al.

2020 · 94 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 · 76 Zit.

Large Language Models: A Guide for Radiologists

Sunkyu Kim, Choong‐kun Lee, Seung‐seob Kim

2024 · 71 Zit.

Artificial intelligence in musculoskeletal ultrasound imaging

YiRang Shin, Jaemoon Yang, Young Han Lee et al.

2020 · 69 Zit.

Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting

Jiwoo Park, Kangrok Oh, Kyunghwa Han et al.

2024 · 68 Zit.