University College Cork

Machine learning in medical education: a survey of the experiences and opinions of medical students in Ireland

Charlotte Blease, Anna Kharko, Michael H. Bernstein et al.

2022 · 83 Zit.

Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 74 Zit.

AI-Driven Learning and Engagement in Higher Education

Muhammad Usman Tariq

2024 · 64 Zit.

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 53 Zit.

Artificial intelligence: The opinions of radiographers and radiation therapists in Ireland

M.-L. Ryan, T. O’Donovan, J.P. McNulty

2021 · 50 Zit.

Radiographers’ knowledge, attitudes and expectations of artificial intelligence in medical imaging

Sinead Coakley, Rena Young, Niamh Moore et al.

2022 · 48 Zit.

Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK

Nikolaos Stogiannos, Rizwan Malik, Amrita Kumar et al.

2023 · 46 Zit.

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 44 Zit.

Artificial Intelligence Against Covid-19: An Early Review

Wim Naudé

2020 · 41 Zit.

Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe

G. Walsh, Nikolaos Stogiannos, Riaan van de Venter et al.

2023 · 40 Zit.

Best Practices for Ethical Conduct of Misinformation Research

Ciara M. Greene, Constance de Saint Laurent, Gillian Murphy et al.

2022 · 34 Zit.

Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi‐society statement from the ACR, CAR, ESR, RANZCR & RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 33 Zit.

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Domenica D’Elia, Jaak Truu, Leo Lahti et al.

2023 · 33 Zit.

A cross-sectional study of explainable machine learning in Alzheimer’s disease: diagnostic classification using MR radiomic features

Stephanos Leandrou, Demetris Lamnisos, Haralabos Bougias et al.

2023 · 33 Zit.

Navigating Bias and Fairness in Digital AI Systems

Muhammad Usman Tariq

2024 · 26 Zit.