Shravya Shetty

Metrics reloaded: recommendations for image analysis validation

2024 · 342 Zit. · Nature Methods

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

2021 · 283 Zit. · BMJ Open

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

2021 · 217 Zit. · Nature Medicine

Understanding metric-related pitfalls in image analysis validation

2024 · 154 Zit. · Nature Methods

Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians

2023 · 99 Zit. · Nature Medicine

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

2025 · 44 Zit. · Nature Medicine

A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment

2022 · 36 Zit. · Communications Medicine

Addendum: International evaluation of an AI system for breast cancer screening

2020 · 36 Zit. · Nature

Reply to: Transparency and reproducibility in artificial intelligence

2020 · 29 Zit. · Nature

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · arXiv (Cornell University)

Improving reference standards for validation of AI-based radiography

2021 · 19 Zit. · British Journal of Radiology

An intentional approach to managing bias in general purpose embedding models

2024 · 17 Zit. · The Lancet Digital Health

Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities

2024 · 11 Zit. · NEJM AI

Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians (CoDoC)

2022 · 4 Zit.