University of Amsterdam

In AI we trust? Perceptions about automated decision-making by artificial intelligence

Theo Araujo, Natali Helberger, Sanne Kruikemeier et al.

2020 · 891 Zit.

The coming of age of artificial intelligence in medicine

Vimla L. Patel, Edward H. Shortliffe, Mario Stefanelli et al.

2008 · 605 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 · 444 Zit.

Evaluating XAI: A comparison of rule-based and example-based explanations

Jasper van der Waa, Elisabeth G.I. Nieuwburg, Anita Cremers et al.

2020 · 359 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 · 355 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 353 Zit.

Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications

Farah Magrabi, Elske Ammenwerth, Jytte Brender McNair et al.

2019 · 321 Zit.

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

Viknesh Sounderajah, Hutan Ashrafian, Ravi Aggarwal et al.

2020 · 250 Zit.

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.

2025 · 244 Zit.

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.

2021 · 223 Zit.

Ranking major and minor research misbehaviors: results from a survey among participants of four World Conferences on Research Integrity

L.M. Bouter, Joeri K. Tijdink, N. H. AXELSEN et al.

2016 · 215 Zit.

Artificial intelligence bot ChatGPT in medical research: the potential game changer as a double‐edged sword

Jari Dahmen, Mahmut Enes Kayaalp, Matthieu Ollivier et al.

2023 · 193 Zit.

What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review

David W. G. Langerhuizen, Stein J. Janssen, Wouter H. Mallee et al.

2019 · 189 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 · 162 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 156 Zit.