Dr. Bardia Khosravi

Biography

Bardia Khosravi is a radiology resident at Yale University School of Medicine in New Haven, Connecticut, specializing in diagnostic radiology. He integrates clinical expertise with a decade of experience in software development and five years focused on machine learning applications in healthcare. Khosravi's research emphasizes leveraging artificial intelligence in radiology, aiming to enhance healthcare delivery, improve medical education, and optimize patient care outcomes. His work involves developing AI solutions that ensure equity and explainability in clinical practice, such as automated systems for implant detection and risk assessment in patient-specific surgeries. Khosravi actively addresses bias in medical AI systems, contributing to frameworks for identifying and mitigating bias in datasets. He is committed to revolutionizing healthcare through strategic applications of AI in radiology, maintaining a vision that transcends traditional practices while ensuring superior patient outcomes. Khosravi's future research focus includes the integration of generative AI and multimodal reasoning systems that enhance diagnostic accuracy and efficiency, ultimately supporting radiologists in their critical roles.

Research Interests