Puja Myles
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness
2020 · 462 Zit. · BMJ
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations
2024 · 87 Zit. · The Lancet Digital Health
Machine learning and AI research for Patient Benefit: 20 Critical\n Questions on Transparency, Replicability, Ethics and Effectiveness
2018 · 17 Zit. · arXiv (Cornell University)
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness
2018 · 17 Zit. · University of Birmingham Research Portal (University of Birmingham)
Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations
2024 · 12 Zit. · NEJM AI
Data quality, provenance and transparency in real-world data : Aligning quality standards with data governance legal frameworks
2025 · 1 Zit. · Journal of data protection & privacy.
Probabilistic Versus Deep Generative Models: A Fairness Centred Evaluation of Synthetic Healthcare Tabular Data
2026 · 0 Zit. · International Journal of Computational Intelligence Systems
Synthetic data for development of AI as a medical device (AIaMDs): Regulatory considerations
2025 · 0 Zit.
Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations
2025 · 0 Zit. · ArXiv.org