Yin Xi

Dr. Yin Xi is an Associate Professor in the Department of Radiology at UT Southwestern Medical Center, with membership in the institution's Research Division. His work bridges radiology and artificial intelligence, focusing on Bayesian statistical methods, spatial analysis, and advanced imaging techniques like MRI and photon-counting CT. He previously served as a statistician in the same department, contributing to three years of foundational research experience.

Key research interests include developing AI-driven tools for diagnostic accuracy in musculoskeletal, oncologic, and obstetric imaging. His studies explore applications such as AI-generated radiographic measurements for hip dysplasia, MRI-based radiomics for placenta accreta spectrum prediction, and photon-counting CT optimization for breast/pancreatic cancer imaging. He also investigates imaging biomarkers for diseases like scleroderma and osteomyelitis, with a focus on inter-reader reliability and clinical correlation.

Recent work emphasizes ethical AI integration in healthcare, including patient perceptions of AI in mammography interpretation and systematic reviews of AI literature. His multidisciplinary approach spans neuroimaging (e.g., magnetoencephalography correlations), vascular imaging (DVT ultrasound factors), and orthopedic applications (peroneal tendon lesions). He collaborates across specialties to advance imaging protocols and artificial intelligence solutions for clinical decision-making.

Dr. Xi's contributions include methodological advancements like the MSKI-RADS and NS-RADS reporting systems for musculoskeletal infections and neuropathies. He also explores healthcare access impacts, such as pandemic effects on preventive imaging and cost-effectiveness of ultrasound-first strategies for breast lesions. His research consistently bridges technical innovation with clinical relevance, aiming to improve diagnostic precision and patient outcomes.