Bradford Royal Infirmary

The Role of Explainability in Assuring Safety of Machine Learning in Healthcare

Yan Jia, John McDermid, Tom Lawton et al.

2022 · 66 Zit.

New Horizons in artificial intelligence in the healthcare of older people

Taha Shiwani, Samuel D. Relton, Ruth Evans et al.

2023 · 59 Zit.

Clinicians risk becoming “liability sinks” for artificial intelligence

Tom Lawton, Phillip Morgan, Zoë Porter et al.

2024 · 33 Zit.

Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol

Ciarán McInerney, Carolyn McCrorie, Jonathan Benn et al.

2022 · 13 Zit.

What are the implications for patient safety and experience of a major healthcare IT breakdown? A qualitative study

Arabella Scantlebury, Laura Sheard, Cindy Fedell et al.

2021 · 6 Zit.

Implementing an artificial intelligence command centre in the NHS: a mixed-methods study

Owen Johnson, Carolyn McCrorie, Ciarán McInerney et al.

2024 · 2 Zit.

The Need for the Human-Centred Explanation for ML-based Clinical Decision Support Systems

Yan Jia, John McDermid, Nathan Hughes et al.

2023 · 2 Zit.

AI-derived ACS checklists for cardiology training: implementation barriers and ethical considerations using the CURACO framework

Ismail Sooltan, A Khan, R Haque et al.

2026 · 0 Zit.

CURACO-enhanced AI inpatient heart failure tools: a pilot study on clinical confidence and patient-centred care

Ismail Sooltan, C Coile, A Khan et al.

2026 · 0 Zit.

AI-enhanced emergency cardiology induction: a CURACO framework pilot study on critical care competencies and decision-making

Ismail Sooltan, R Haque, A Khan et al.

2026 · 0 Zit.

Systematic enhancement of existing breathlessness protocols through CURACO framework integration: a novel approach to ethical clinical excellence

I Sooltan, A Khan, R Haque et al.

2026 · 0 Zit.