Our risk-stratified #screening system for #breastcancer improves predictability of patients needing same-day diagnostics, boosting efficiency and reducing anxiety. 📰🔗jacr.org/article/S1546-… JACR Huge thanks to Drs. William Hsu, Anne Hoyt and other co-authors!

Looking forward to the upcoming AHRQ webinar on AI tools to improve provider effectiveness and patient outcomes. I'll share our efforts to advance same-day diagnostic follow-up of abnormal screening mammograms through the use of breast AI digital.ahrq.gov/national-webin…

Proud to be a part of this panel to highlight the important work funded by AHRQ utilizing AI to offer innovative services to improve patient care and experience

"In a world laden with acronyms, the Agency for Healthcare Research and Quality, or AHRQ, packs its acronym with purpose. AHRQ is the leading federal agency devoted to enhancing the quality and safety of health care for all Americans." Read more: academyhealth.org/blog/2025-03/w…

AHRQ is more than a funder. It’s a catalyst for smarter, safer, more responsive solutions. Our latest blog shows how AHRQ improves health system transformations—and what you can do to help protect it. buff.ly/7CWhaC3

How robust are #DeepLearning models for prostate cancer diagnosis? doi.org/10.1148/ryai.2… Abhinav Suri, MPH William Hsu UCLA Radiology #GURad #prostate #cancer

In a comparative analysis, UCLA Radiology researchers & colleagues assess how CT parameter variations impact images, radiomic & deep features—then evaluated harmonization methods to reduce these effects. Full study in Institute of Physics and Engineering in Medicine: doi.org/10.1088/1361-6…

Use of a Large Language Model to Aid with Clinical Trial Recruitment for Patients with Non-Advanced Colorectal Polyps at #DDW2025 🙌Jamie O. Yang, MD 👤 Senior: Robert Schoen 👥Gordon H. Guyatt Jeffrey M Dueker, MD, MPH William Hsu Fola May, MD PhD et al 🔸May 4, 2pm, Room 24

Looking forward to connecting with everyone attending the #ATS2025 in San Francisco! I’ll be presenting our study on the association between social determinants of health and adherence to lung cancer screening. Preview our abstract here: atsjournals.org/doi/abs/10.116… American Thoracic Society (ATS)

A proud advisor moment 🎉 congratulations to Rina (Ruiwen) Ding who successfully defended her dissertation entitled "Using multimodal AI to predict lung adenocarcinoma recurrence" UCLA MII UCLA Bioengineering #bruinproud #latepost

Presented my #LungCancerScreening research at ATS for the first time! Grateful for the inspiring discussions and connections. Many thanks to my co-authors Drs William Hsu Ashley Prosper, MD Denise Aberle, Haley Tupper, and UCLA Jonsson Comprehensive Cancer Center for supporting this work! #ATS2025

My colleague William Hsu and I explain why we need more “Contemporary, Diverse, and Annotated Datasets to Advance #AI in #LungCancerScreening” | Radiology: Artificial Intelligence pubs.rsna.org/doi/10.1148/ry…

Thrilled to have the chance to catch up with Jason Yang, who I've known for 20+ years. A fellow Johns Hopkins BME alum now working at the intersection of systems biology, synthetic biology, and ML. Thanks for swinging by Westwood!

I'm immensely grateful to our Editorial Board, reviewers, authors, and readers for making Radiology: Artificial Intelligence a success! 🌟Many thanks to the superb RSNA staff -- and a special shout-out to our Deputy Editors: Mariam Aboian William Hsu Jayashree Kalpathy Despina Kontos Ronnie Sebro 🌟

Office view for the day

Real or AI?

"The higher your structure is to be, the deeper must be its foundation"

Cancer is shaped by complex biological and phenotypic changes over time. ✨ Dive into Luoting Zhuang and Stephen Park's latest manuscript for a comprehensive primer on how longitudinal and multimodal analysis are advancing #CancerResearch. 🙌💡ieeexplore.ieee.org/document/11068…