The University of Queensland

Explainable Artificial Intelligence in education

Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen et al.

2022 · 623 Zit.

A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour

Melissa Bond, Hassan Khosravi, Maarten de Laat et al.

2024 · 482 Zit.

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.

2022 · 460 Zit.

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Luca Longo, Mario Brčić, Federico Cabitza et al.

2024 · 437 Zit.

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

van der Laak J, Corrado GS, Allan R et al.

2022 · 390 Zit.

The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field

Genevieve Coorey, Gemma A. Figtree, David F. Fletcher et al.

2022 · 311 Zit.

Improving public services using artificial intelligence: possibilities, pitfalls, governance

Paul Henman

2020 · 267 Zit.

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

Jane Scheetz, Philip Rothschild, Myra B. McGuinness et al.

2021 · 267 Zit.

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

Sarah Haggenmüller, Roman C. Maron, Achim Hekler et al.

2021 · 240 Zit.

A Review of Trust in Artificial Intelligence: Challenges, Vulnerabilities and Future Directions

Steven Lockey, Nicole Gillespie, Daniel Holm et al.

2021 · 181 Zit.

Exploring stakeholder attitudes towards AI in clinical practice

Ian Scott, Stacy M. Carter, Enrico Coiera

2021 · 176 Zit.

Mapping out a research agenda for generative artificial intelligence in tertiary education

Jason M. Lodge, Kate Thompson, Linda Corrin

2023 · 156 Zit.

Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology

Roxana Daneshjou, Catarina Barata, Brigid Betz‐Stablein et al.

2021 · 143 Zit.

Clinician checklist for assessing suitability of machine learning applications in healthcare

Ian Scott, Stacy M. Carter, Enrico Coiera

2021 · 139 Zit.

Federated benchmarking of medical artificial intelligence with MedPerf

Alexandros Karargyris, Renato Umeton, Micah Sheller et al.

2023 · 134 Zit.