Vrije Universiteit Amsterdam

Introducing Artificial Intelligence Training in Medical Education

Ketan Paranjape, Michiel Schinkel, Rishi Panday et al.

2019 · 597 Zit.

The Hong Kong Principles for assessing researchers: Fostering research integrity

David Moher, L.M. Bouter, Sabine Kleinert et al.

2020 · 518 Zit.

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence

Zeynep Akata, Dan Balliet, Maarten de Rijke et al.

2020 · 362 Zit.

Prevalence of questionable research practices, research misconduct and their potential explanatory factors: A survey among academic researchers in The Netherlands

Gowri Gopalakrishna, Gerben ter Riet, Gerko Vink et al.

2022 · 266 Zit.

Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance

Thomas Dratsch, Xue Chen, Mohammad Hosein Rezazade Mehrizi et al.

2023 · 259 Zit.

Overcoming the pitfalls and perils of algorithms: A classification of machine learning biases and mitigation methods

Benjamin van Giffen, Dennis Herhausen, Tobias Fahse

2022 · 207 Zit.

Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial

F Jasmijn Smits, Anne Claire Henry, Marc G Besselink et al.

2022 · 166 Zit.

Explainable AI for Bioinformatics: Methods, Tools and Applications

Md. Rezaul Karim, Tanhim Islam, Md Shajalal et al.

2023 · 162 Zit.

AI did not write this manuscript, or did it? Can we trick the AI text detector into generated texts? The potential future of ChatGPT and AI in Sports & Exercise Medicine manuscript generation

Nash Anderson, Daniel L. Belavý, Stephen M. Perle et al.

2023 · 161 Zit.

Interpretable machine learning for dementia: A systematic review

Sophie Martin, Florence Townend, Frederik Barkhof et al.

2023 · 126 Zit.

Use of artificial intelligence in critical care: opportunities and obstacles

Michael R. Pinsky, Armando Bedoya, Azra Bihorac et al.

2024 · 123 Zit.

Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.

2019 · 116 Zit.

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.

2019 · 113 Zit.

Applications of artificial intelligence (AI) in diagnostic radiology: a technography study

Mohammad Hosein Rezazade Mehrizi, Peter M. A. van Ooijen, Milou Homan

2020 · 104 Zit.

Artificial intelligence for oral and dental healthcare: Core education curriculum

Falk Schwendicke, Akhilanand Chaurasia, Thomas Wiegand et al.

2022 · 102 Zit.