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University of Washington

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

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2018 · 1.909 Zit.

Misconduct accounts for the majority of retracted scientific publications

Ferric C. Fang, R. Grant Steen, Arturo Casadevall

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Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

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

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

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Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

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2020 · 534 Zit.

There is a blind spot in AI research

Kate Crawford, Ryan Calo

2016 · 504 Zit.

Interpretable Machine Learning in Healthcare

Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai

2018 · 491 Zit.

AI for radiographic COVID-19 detection selects shortcuts over signal

Alex J. DeGrave, Joseph D. Janizek, Su‐In Lee

2021 · 436 Zit.

Formalizing Trust in Artificial Intelligence

Alon Jacovi, Ana Marasović, Tim Miller et al.

2021 · 432 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 · 427 Zit.

Why Has the Number of Scientific Retractions Increased?

R. Grant Steen, Arturo Casadevall, Ferric C. Fang

2013 · 409 Zit.

Retracted Science and the Retraction Index

Ferric C. Fang, Arturo Casadevall

2011 · 402 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.

Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff

Gagan Bansal, Besmira Nushi, Ece Kamar et al.

2019 · 270 Zit.