Alessandro Blasimme

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

2020 · 1.680 Zit. · BMC Medical Informatics and Decision Making

Machine learning in medicine: Addressing ethical challenges

2018 · 768 Zit. · PLoS Medicine

Ethics review of big data research: What should stay and what should be reformed?

2021 · 91 Zit. · BMC Medical Ethics

Decentralised clinical trials: ethical opportunities and challenges

2023 · 89 Zit. · The Lancet Digital Health

Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke

2023 · 88 Zit. · PLoS ONE

Machine Learning in Medicine:

2018 · 80 Zit. · European Data Protection Law Review

The Ethics of AI in Biomedical Research, Patient Care and Public Health

2019 · 25 Zit. · SSRN Electronic Journal

Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging

2023 · 16 Zit. · PLOS Digital Health

A Systemic Approach to the Oversight of Machine Learning Clinical Translation

2022 · 7 Zit. · The American Journal of Bioethics

What makes clinical machine learning fair? A practical ethics framework

2025 · 6 Zit. · PLOS Digital Health

Organizational aspects of tissue engineering clinical translation: insights from a qualitative case study

2024 · 4 Zit. · Translational Medicine Communications

FAMEWS: a Fairness Auditing tool for Medical Early-Warning Systems

2024 · 4 Zit. · medRxiv

Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges

2025 · 4 Zit. · BMC Cancer

Ongoing and planned Randomized Controlled Trials of AI in medicine: An analysis of Clinicaltrials.gov registration data

2024 · 1 Zit. · medRxiv

Realizing the promise of machine learning in precision oncology:expert perspectives on opportunities and challenges

2023 · 0 Zit. · Research Square