Queensland University of Technology

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

A. S. Albahri, Ali M. Duhaim, Mohammed A. Fadhel et al.

2023 · 624 Zit.

The Hong Kong Principles for assessing researchers: Fostering research integrity

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

2020 · 506 Zit.

Why rankings of biomedical image analysis competitions should be interpreted with care

Lena Maier‐Hein, Matthias Eisenmann, Annika Reinke et al.

2018 · 343 Zit.

Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review

Elias Hossain, Rajib Rana, Niall Higgins et al.

2023 · 328 Zit.

Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications

Yu-Liang Chou, Catarina Moreira, Peter Bruza et al.

2021 · 249 Zit.

What is Human-Centered about Human-Centered AI? A Map of the Research Landscape

Tara Capel, Margot Brereton

2023 · 163 Zit.

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

Jason M. Lodge, Kate Thompson, Linda Corrin

2023 · 149 Zit.

General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study

Christoph Buck, Eileen Doctor, Jasmin Hennrich et al.

2022 · 134 Zit.

The risks of using ChatGPT to obtain common safety-related information and advice

Óscar Oviedo-Trespalacios, Amy E. Peden, Tom Cole‐Hunter et al.

2023 · 124 Zit.

Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models

Sameera Senanayake, Nicole White, Nicholas Graves et al.

2019 · 104 Zit.

The rapid rise of generative AI and its implications for academic integrity: Students’ perceptions and use of chatbots for assistance with assessments

Jan Henrik Gruenhagen, Peter M. Sinclair, Julie‐Anne Carroll et al.

2024 · 97 Zit.

Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study

Lauren Oakden‐Rayner, William A. Gale, Thomas A. Bonham et al.

2022 · 84 Zit.

Synthesizing Dimensions of Digital Maturity in Hospitals: Systematic Review

Rhona Duncan, Rebekah Eden, Leanna Woods et al.

2022 · 82 Zit.

Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

Laith Alzubaidi, Aiman Al-Sabaawi, Jinshuai Bai et al.

2023 · 70 Zit.

The Impact of Artificial Intelligence and Machine Learning in Radiation Therapy: Considerations for Future Curriculum Enhancement

Crispen Chamunyonga, Christopher Edwards, Peter Caldwell et al.

2020 · 62 Zit.