NewYork–Presbyterian Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence in cancer imaging: Clinical challenges and applications
Wenya Linda Bi, Ahmed Hosny, Matthew B. Schabath et al.
2019 · 1.787 Zit.
Understanding artificial intelligence based radiology studies: What is overfitting?
Simukayi Mutasa, Shawn Sun, Richard Ha
2020 · 209 Zit.
Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease
Yuka Otaki, Ananya Singh, Paul Kavanagh et al.
2021 · 109 Zit.
Artificial intelligence and obesity management: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2023
Harold Bays, Angela Fitch, Suzanne Cuda et al.
2023 · 100 Zit.
Systematic review of current natural language processing methods and applications in cardiology
Meghan Reading Turchioe, Alexander Volodarskiy, Jyotishman Pathak et al.
2021 · 95 Zit.
Global Trend in Artificial Intelligence–Based Publications in Radiology From 2000 to 2018
Elizabeth West, Simukayi Mutasa, Zelos Zhu et al.
2019 · 76 Zit.
Clinical Trial Design Principles and Outcomes Definitions for Device-Based Therapies for Hypertension: A Consensus Document From the Hypertension Academic Research Consortium
David E. Kandzari, Felix Mahfoud, Michael A. Weber et al.
2022 · 71 Zit.
Minimally invasive percutaneous plate osteosynthesis of fractures of the distal tibia.
David L. Helfet, Michael Suk
2004 · 58 Zit.
Detecting pediatric wrist fractures using deep-learning-based object detection
John R. Zech, Giuseppe Carotenuto, Zenas Igbinoba et al.
2023 · 51 Zit.
Benefits, limits, and risks of ChatGPT in medicine
Jonathan A. Tangsrivimol, Erfan Darzidehkalani, Hafeez Ul Hassan Virk et al.
2025 · 47 Zit.
Artificial Intelligence (AI) for Fracture Diagnosis: An Overview of Current Products and Considerations for Clinical Adoption, From the <i>AJR</i> Special Series on AI Applications
John R. Zech, Samantha M. Santomartino, Paul H. Yi
2022 · 43 Zit.
Defining Glioblastoma Resectability Through the Wisdom of the Crowd: A Proof-of-Principle Study
Adam M. Sonabend, Brad E. Zacharia, Michael Cloney et al.
2016 · 43 Zit.
The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care
Heather Meissen, Michelle N. Gong, An-Kwok Ian Wong et al.
2022 · 39 Zit.
Current Trends in Artificial Intelligence Application for Endourology and Robotic Surgery
Timothy Chang, Caleb Seufert, Okyaz Eminağa et al.
2020 · 36 Zit.
Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22
Maurizio Cecconi, Massimiliano Greco, Benjamin Shickel et al.
2025 · 35 Zit.