Myura Nagendran

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

2020 · 998 Zit. · BMJ

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

2022 · 435 Zit. · Nature Medicine

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies in medical imaging.

2020 · 31 Zit.

Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations

2024 · 15 Zit. · npj Digital Medicine

Safety of human-AI cooperative decision-making within intensive care: A physical simulation study

2025 · 8 Zit. · PLOS Digital Health

Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

2022 · 7 Zit. · Nature Medicine

Evaluating the Human Safety Net: Observational study of Physician Responses to Unsafe AI Recommendations in high-fidelity Simulation

2023 · 4 Zit.

Explainable AI: definition and attributes of a good explanation for health AI

2025 · 3 Zit. · AI and Ethics

Quantifying the impact of AI recommendations with explanations on prescription decision making: an interactive vignette study

2023 · 2 Zit.

Exploring the Integration of AI in Sepsis Management: A Pilot Study on Clinician Acceptance and Decision-Making in ICU Settings

2024 · 0 Zit. · AHFE international

Quantifying the impact of AI recommendations with explanations on prescription decisions: an interactive 3 vignette study (data & code)

2023 · 0 Zit. · Figshare

Clinical evaluation framework using behavioural & visual attention read-outs for explainable AI (XAI)

2024 · 0 Zit. · Figshare