Bardia Khosravi

Multi-site real-world performance of commercial AI for pulmonary and incidental pulmonary embolism detection

Pulmonary embolism (PE) is a leading cause of cardiovascular mortality, yet the real-world performance of FDA-cleared AI detection models remains incompletely characterized. We retrospectively evaluated two FDA-cleared AI algorithms from a single commercial platform (Aidoc Medica...

TRAM-AI: A Framework for Transparency in Reporting of Medical Imaging Datasets for Artificial Intelligence Development

Purpose To develop and evaluate TRAM-AI, a consensus-based checklist for verifying whether medical imaging datasets described as publicly accessible are functionally usable for AI development. Materials and Methods A modified Delphi study was conducted. A steering committee gener...