Mark Mamlouk, MD, chaired the 2024 ASPNR conference where Orit Glenn, MD, was named Fellow and Michael Romano, MD, PhD, received the Huisman Travel Award.

Maggie Chung, MD, and Adam Yala, PhD, are conducting prospective trials focused on the clinical translation of AI models for breast cancer risk assessment. 

This year’s RSNA annual meeting drew more than 38,000 radiologists, imaging scientists, and industry colleagues to Chicago to discuss the latest in clinical care, research, and technology. UCSF radiology faculty and trainees delivered lectures, moderated panels, and led courses and scientific sessions.

Leo Sugrue, MD, PhD, develops non-invasive image-guided neuromodulation techniques to treat multiple psychiatric disorders. Watch him explain these options for patient treatment.

Patient care coordinator Tori Lomax Truong attended the HHT International Scientific Conference to present posters and showcase the importance of care coordinators in the treatment of this disorder.

Understanding how neurodegenerative diseases disrupt the neural mechanisms of speaking can potentially lead to early disease detection and the development of novel therapeutic strategies for individuals with Alzheimer’s disease and other neurological disorders to maintain clearer and more intelligible speech.

Rupsa Bhattacharjee, PhD, is working on new AI-aided imaging technology to detect osteoarthritis early and allow healthcare professionals to slow its advance. Watch her explain her research’s potential impact.

We highlight some of the recent accomplishments in research and clinical trials by members of the department who apply nuclear medicine to diagnose and treat illnesses including cancer.

As part of our celebration of Postdoc Appreciation Week, we invited two postdocs, Virginie Kreutzinger, MD, and Katharina Ziegeler, MD, to answer a few questions about their work and their time at UCSF.

No two hearts are the same. And no one knows that better than Shezhang Lin, MD. Lin spends his days creating detailed, interactive, models of patient’s hearts at UCSF’s 3DLab. His 3D heart models help surgeons visualize a patient’s heart before surgery, to better understand and address the unique case at hand, to plan the best surgical approach, and to help explain complex procedures to patients and their families.