Mount Sinai Health System
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial Intelligence in Cardiology
Kipp W. Johnson, Jessica Torres Soto, Benjamin S. Glicksberg et al.
2018 · 1.108 Zit.
Deep neural network improves fracture detection by clinicians
Robert Lindsey, Aaron Daluiski, Sumit Chopra et al.
2018 · 584 Zit.
The Advent of Generative Language Models in Medical Education
Mert Karabacak, Burak Berksu Ozkara, Konstantinos Margetis et al.
2023 · 191 Zit.
Embracing Large Language Models for Medical Applications: Opportunities and Challenges
Mert Karabacak, Konstantinos Margetis
2023 · 183 Zit.
Large language models in patient education: a scoping review of applications in medicine
Serhat Aydın, Mert Karabacak, Victoria Vlachos et al.
2024 · 143 Zit.
Large Language Models Are Poor Medical Coders — Benchmarking of Medical Code Querying
Ali Soroush, Benjamin S. Glicksberg, Eyal Zimlichman et al.
2024 · 109 Zit.
Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper
Carolyn Petersen, Jeffery Smith, Robert R. Freimuth et al.
2020 · 67 Zit.
Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care
Garrett S. Bullock, Tom Hughes, Amelia H. Arundale et al.
2022 · 59 Zit.
Federated Learning used for predicting outcomes in SARS-COV-2 patients
Mona G. Flores, Ittai Dayan, Holger R. Roth et al.
2021 · 44 Zit.
Identifying Facilitators and Barriers to Implementation of AI-Assisted Clinical Decision Support in an Electronic Health Record System
Joseph Finkelstein, Aileen Gabriel, Susanna Schmer et al.
2024 · 38 Zit.
Predicting Patient Demographics From Chest Radiographs With Deep Learning
Jason Adleberg, Amr H. Wardeh, Florence X. Doo et al.
2022 · 31 Zit.
Interpretable machine learning models to predict short-term postoperative outcomes following posterior cervical fusion
Mert Karabacak, Konstantinos Margetis
2023 · 31 Zit.
Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application
Mert Karabacak, Pemla Jagtiani, Alejandro Carrasquilla et al.
2023 · 28 Zit.
Big Data Defined: A Practical Review for Neurosurgeons
Mohamad Bydon, Clemens M. Schirmer, Eric K. Oermann et al.
2019 · 27 Zit.
Evaluating prompt engineering on GPT-3.5’s performance in USMLE-style medical calculations and clinical scenarios generated by GPT-4
Dhavalkumar D. Patel, Ganesh Raut, Eyal Zimlichman et al.
2024 · 26 Zit.