Scripps Research Institute
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
High-performance medicine: the convergence of human and artificial intelligence
Eric J. Topol
2018 · 8.025 Zit.
AI in health and medicine
Pranav Rajpurkar, Emma Chen, Oishi Banerjee et al.
2022 · 2.388 Zit.
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Xiaoxuan Liu, Livia Faes, Aditya U. Kale et al.
2019 · 1.767 Zit.
Foundation models for generalist medical artificial intelligence
Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad et al.
2023 · 1.476 Zit.
Multimodal biomedical AI
Julián Acosta, Guido J. Falcone, Pranav Rajpurkar et al.
2022 · 1.053 Zit.
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
Myura Nagendran, Yang Chen, Christopher A. Lovejoy et al.
2020 · 1.025 Zit.
The imperative for regulatory oversight of large language models (or generative AI) in healthcare
Bertalan Meskó, Eric J. Topol
2023 · 876 Zit.
Adapting to Artificial Intelligence
Saurabh Kumar Jha, Eric J. Topol
2016 · 612 Zit.
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
Beau Norgeot, Giorgio Quer, Brett K. Beaulieu‐Jones et al.
2020 · 550 Zit.
Using Digital Health Technology to Better Generate Evidence and Deliver Evidence-Based Care
Abhinav Sharma, Robert A. Harrington, Mark McClellan et al.
2018 · 340 Zit.
Machine Learning and the Future of Cardiovascular Care
Giorgio Quer, Ramy Arnaout, Ramy Arnaout et al.
2021 · 324 Zit.
Artificial intelligence in surgery
Chris Varghese, Ewen M. Harrison, Greg O’Grady et al.
2024 · 200 Zit.
Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice
Rohan Khera, Evangelos K. Oikonomou, Girish N. Nadkarni et al.
2024 · 182 Zit.
Unpatients—why patients should own their medical data
Leonard J Kish, Eric J. Topol
2015 · 169 Zit.
Privacy and security in the era of digital health: what should translational researchers know and do about it?
Barbara L. Filkins, Ju Young Kim, Bruce Roberts et al.
2016 · 157 Zit.