Brown University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
Tiffany H. Kung, Morgan Cheatham, Arielle Medenilla et al.
2023 · 3.316 Zit.
Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models
Tiffany H. Kung, Morgan Cheatham, Arielle Medenilla et al.
2022 · 615 Zit.
Snorkel: rapid training data creation with weak supervision.
Alexander Ratner, Stephen H Bach, Henry Ehrenberg et al.
2020 · 519 Zit.
The RSNA Pediatric Bone Age Machine Learning Challenge
Safwan S. Halabi, Luciano M. Prevedello, Jayashree Kalpathy–Cramer et al.
2018 · 441 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 · 428 Zit.
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
Harrison X. Bai, Robin Wang, Zeng Xiong et al.
2020 · 399 Zit.
The present and future of deep learning in radiology
Luca Saba, Mainak Biswas, Venkatanareshbabu Kuppili et al.
2019 · 336 Zit.
Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bank
Rohaid Ali, Oliver Y. Tang, Ian D. Connolly et al.
2023 · 305 Zit.
Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners’ Views
Charlotte Blease, Ted J. Kaptchuk, Michael H. Bernstein et al.
2018 · 286 Zit.
The emerging science of quantitative imaging biomarkers terminology and definitions for scientific studies and regulatory submissions
Larry G. Kessler, Huiman X. Barnhart, Andrew J. Buckler et al.
2014 · 283 Zit.
Performance of ChatGPT and GPT-4 on Neurosurgery Written Board Examinations
Rohaid Ali, Oliver Y. Tang, Ian D. Connolly et al.
2023 · 197 Zit.
Emerging Technologies for Use in the Study, Diagnosis, and Treatment of Patients with COVID-19
Maria Tsikala Vafea, Eleftheria Atalla, Joanna Georgakas et al.
2020 · 155 Zit.
Impact of Artificial Intelligence on Interventional Cardiology
Partha Sardar, J. Dawn Abbott, Amartya Kundu et al.
2019 · 137 Zit.
Artificial Intelligence in Theory and Practice
Thomas Dean
2006 · 135 Zit.
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
Zhicheng Jiao, Ji Whae Choi, Kasey Halsey et al.
2021 · 122 Zit.