Rubeta Matin

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

2023 · 243 Zit. · Nature Medicine

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

2024 · 93 Zit. · The Lancet Digital Health

Tackling bias in AI health datasets through the STANDING Together initiative

2022 · 79 Zit. · Nature Medicine

Global Initiative on AI for Health (GI-AI4H): strategic priorities advancing governance across the United Nations

2025 · 15 Zit. · npj Digital Medicine

New international reporting guidelines for clinical trials evaluating effectiveness of artificial intelligence interventions in dermatology: strengthening the SPIRIT of robust trial reporting

2021 · 14 Zit. · British Journal of Dermatology

Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations

2024 · 13 Zit. · NEJM AI

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review

2024 · 11 Zit. · Clinical Imaging

Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review

2024 · 10 Zit. · The Lancet Digital Health

Evaluating the diagnostic and triage performance of digital and online symptom checkers for the presentation of myocardial infarction; A retrospective cross-sectional study

2024 · 4 Zit. · PLOS Digital Health

Diagnosis of suspicious pigmented lesions in specialist settings with artificial intelligence

2023 · 2 Zit. · The Lancet Digital Health

Regulatory and Legal Considerations with Artificial Intelligence in Dermatology

2025 · 1 Zit. · Dermatologic Clinics

Corrigendum to “Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review” [Clin Imaging 118 (2025) 110369]

2025 · 0 Zit. · Clinical Imaging