Ravi Aggarwal

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

2021 · 809 Zit. · npj Digital Medicine

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

2021 · 283 Zit. · BMJ Open

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

2020 · 246 Zit. · Nature Medicine

Patient Perceptions on Data Sharing and Applying Artificial Intelligence to Health Care Data: Cross-sectional Survey

2021 · 129 Zit. · Journal of Medical Internet Research

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

2025 · 43 Zit. · Nature Medicine

Perception of artificial intelligence-based solutions in healthcare among people with and without diabetes: A cross-sectional survey from the health in Central Denmark cohort

2022 · 24 Zit. · Diabetes Epidemiology and Management

Reporting Standards and Quality Assessment Tools in Artificial Intelligence–Centered Healthcare Research

2022 · 3 Zit. · Artificial Intelligence in Medicine

Patient Perceptions on Data Sharing and Applying Artificial Intelligence to Health Care Data: Cross-sectional Survey (Preprint)

2020 · 1 Zit.

Perception of Artificial Intelligence in Healthcare Among People with and Without Diabetes: A Cross-Sectional Survey from the Health in Central Denmark Cohort

2022 · 0 Zit. · SSRN Electronic Journal

Reporting Standards and Quality Assessment Tools in Artificial Intelligence Centered Healthcare Research

2021 · 0 Zit. · Artificial Intelligence in Medicine