Melissa D. McCradden

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

2024 · 1.438 Zit. · BMJ

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

2020 · 885 Zit. · Nature Medicine

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

2020 · 537 Zit. · Nature Medicine

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

2022 · 428 Zit. · Nature Medicine

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

2020 · 386 Zit. · The Lancet Digital Health

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

2020 · 330 Zit. · The Lancet Digital Health

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

2022 · 298 Zit. · BMJ

Ethical limitations of algorithmic fairness solutions in health care machine learning

2020 · 245 Zit. · The Lancet Digital Health

What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use

2019 · 239 Zit. · arXiv (Cornell University)

The value of standards for health datasets in artificial intelligence-based applications

2023 · 235 Zit. · Nature Medicine

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

2021 · 217 Zit. · Nature Medicine

The medical algorithmic audit

2022 · 200 Zit. · The Lancet Digital Health

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

2025 · 179 Zit. · BMJ

A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning

2022 · 106 Zit. · The American Journal of Bioethics

Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning

2020 · 100 Zit. · Journal of the American Medical Informatics Association