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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms
André Carrington, Paul Fieguth, Hammad Ali Qazi et al.
2020 · 157 Zit.
Factors affecting the mature use of electronic medical records by primary care physicians: a systematic review
Rana Melissa Rahal, Jay Mercer, Craig Kuziemsky et al.
2021 · 55 Zit.
Predictive risk algorithms in a population setting: an overview
Douglas G. Manuel, Laura C. Rosella, Deirdre Hennessy et al.
2012 · 50 Zit.
Open synthesis and the coronavirus pandemic in 2020
Neal Haddaway, Elie A. Akl, Matthew J. Page et al.
2020 · 15 Zit.
Natural Language Processing to Identify Digital Learning Tools in Postgraduate Family Medicine: Protocol for a Scoping Review
Hui Yan, Arya Rahgozar, Claire Sethuram et al.
2022 · 9 Zit.
Protocol for a scoping review of patient–clinician digital health interventions for the population with hip fracture
Chantal Backman, Steve Papp, Anne Harley et al.
2022 · 5 Zit.
Incorporating Laboratory Values Into a Machine Learning Model Improves In-Hospital Mortality Predictions After Rapid Response Team Call
Peter M. Reardon, Enea Parimbelli, Szymon Wilk et al.
2019 · 5 Zit.
Use of Artificial Intelligence in the Identification and Management of Frailty: A Scoping Review Protocol
Sathya Karunananthan, Arya Rahgozar, Ramtin Hakimjavadi et al.
2023 · 2 Zit.
Evaluating ChatGPT’s ability to simplify scientific abstracts for clinicians and the public
Esra Dogru-Huzmeli, Sarah Moore-Vasram, Chetan Phadke et al.
2025 · 2 Zit.
Methodological Guidance for Incorporating Equity in Rapid Reviews in the Context of COVID-19
Omar Dewidar, Brenda Allen Kawala, Alba Antequera et al.
2022 · 1 Zit.
Policy context and digital development: a comparative study of trajectories in 4 Canadian academic health centers over 30 years
Aude Motulsky, Susan Usher, Pascale Lehoux et al.
2025 · 1 Zit.
Correction: Natural Language Processing to Identify Digital Learning Tools in Postgraduate Family Medicine: Protocol for a Scoping Review (Preprint)
Hui Yan, Arya Rahgozar, Claire Sethuram et al.
2022 · 0 Zit.
Can AI Match Human Experts? Evaluating LLM-Generated Feedback on Resident Scholarly Projects
Zack van Allen, Sylvie Forgues-Martel, Maddie J. Venables et al.
2026 · 0 Zit.
Use of Conventional Artificial Intelligence Methods in the Identification of Frailty: A Scoping Review
Kunal Ashok Dalsania, Alixe Ménard, Shruthi Sundararaman et al.
2026 · 0 Zit.
A double-blind, crossover, non-inferiority randomised controlled trial where primary care providers and patients compare human-generated and AI-generated digital health messages: the AI-CARE study protocol
Audrée Lemieux, S. Kutcher, Borris Rosnay Galani Tietcheu et al.
2026 · 0 Zit.