University of Washington

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

Scott Lundberg, Bala G. Nair, Monica S. Vavilala et al.

2018 · 1.960 Zit.

Misconduct accounts for the majority of retracted scientific publications

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

2012 · 1.211 Zit.

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

Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.

2020 · 978 Zit.

Cardiovascular Event Prediction by Machine Learning

Bharath Ambale‐Venkatesh, Xiaoying Yang, Colin O. Wu et al.

2017 · 624 Zit.

Deep neural network improves fracture detection by clinicians

Robert Lindsey, Aaron Daluiski, Sumit Chopra et al.

2018 · 600 Zit.

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

Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan et al.

2020 · 574 Zit.

There is a blind spot in AI research

Kate Crawford, Ryan Calo

2016 · 518 Zit.

Interpretable Machine Learning in Healthcare

Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai

2018 · 501 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 · 464 Zit.

Formalizing Trust in Artificial Intelligence

Alon Jacovi, Ana Marasović, Tim Miller et al.

2021 · 460 Zit.

AI for radiographic COVID-19 detection selects shortcuts over signal

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

2021 · 459 Zit.

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

Thomas Schaffter, Diana S.M. Buist, Christoph I. Lee et al.

2020 · 409 Zit.

Retracted Science and the Retraction Index

Ferric C. Fang, Arturo Casadevall

2011 · 404 Zit.

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study

Romain Pirracchio, Maya Petersen, Marco Carone et al.

2014 · 377 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 · 285 Zit.