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Scripps Research Institute

44.827 Arbeiten12.621.791 Zitationen
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Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

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2022 · 2.239 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 · 1.725 Zit.

Foundation models for generalist medical artificial intelligence

Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad et al.

2023 · 1.372 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 · 990 Zit.

Multimodal biomedical AI

Julián Acosta, Guido J. Falcone, Pranav Rajpurkar et al.

2022 · 982 Zit.

The imperative for regulatory oversight of large language models (or generative AI) in healthcare

Bertalan Meskó, Eric J. Topol

2023 · 831 Zit.

Adapting to Artificial Intelligence

Saurabh Kumar Jha, Eric J. Topol

2016 · 604 Zit.

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Melissa Haendel, Christopher G. Chute, Tellen D. Bennett et al.

2020 · 574 Zit.

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

Beau Norgeot, Giorgio Quer, Brett K. Beaulieu‐Jones et al.

2020 · 534 Zit.

Using Digital Health Technology to Better Generate Evidence and Deliver Evidence-Based Care

Abhinav Sharma, Robert A. Harrington, Mark McClellan et al.

2018 · 334 Zit.

Machine Learning and the Future of Cardiovascular Care

Giorgio Quer, Ramy Arnaout, Michael Henne et al.

2021 · 316 Zit.

Artificial intelligence in surgery

Chris Varghese, Ewen M. Harrison, Greg O’Grady et al.

2024 · 173 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.

Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice

Rohan Khera, Evangelos K. Oikonomou, Girish N. Nadkarni et al.

2024 · 150 Zit.