Chien-Yi Liao and Shunyu Lao presenting their work from UTSW Radiation Oncology during the adaptive therapy session #AAPM2024 with Dr Mu-Han Lin and Dr Stan Benedict moderating. Medical Artificial Intelligence and Automation Lab

Congratulations to one of our lab's faculty, Dr. Nguyen!

Huge congratulations to our Director of Clinical Research, Dr. Neil Desai, who was awarded a CPRIT grant of over $1.4M! This grant will help support clinical trials aimed at adapting radiotherapy to treatment response, as well as artificial intelligence innovations.

UTSW Radiation Oncology Thank you all for the support and good wishes. I’m lucky to have the opportunity through this unique CPRIT mechanism to build upon our trials mentorship and logistics in particular with generous and exceptional colleagues like Medical Artificial Intelligence and Automation Lab Steve Jiang & others

Congratulations to Dr. Daniel Yang, Assistant Professor of Radiation Oncology, who has been selected for UTSW's Dean’s Scholar in Clinical Research Program for spring/summer 2024! Dr. Yang's research aims to develop AI to personalize radiotherapy for prostate cancer patients.

Great insights today at the #DFWAI Thought Leaders Series, discussing the unique challenges of entrepreneurship and IP in AI for healthcare. Engaging with experts beyond my usual circle brought fresh perspectives and valuable takeaways. #HealthcareAI #Innovation

Great new work by Dan Nguyen Chenyang Shen Steve Jiang et al Medical Artificial Intelligence and Automation Lab @UTSW_ROPhysRes UTSW Radiation Oncology - 'Quality assurance for online adaptive #radiotherapy........' - iopscience.iop.org/article/10.108… #machinelearning #oncology #radiology #medicalphysics #AI #tomography #cancer

Today, our Vice Chair of Digital Health & AI and Medical Physics & Engineering Division Chief, Dr. Steve Jiang, is giving an invited talk, "Personalized Oncology, Adaptive Radiotherapy, and AI Agents," at the Robert Gillies Machine Learning Conference in Tampa, Florida.

Our Vice Chair of Digital Health & AI and Medical Physics & Engineering Division Chief, Dr. Steve Jiang, gave an invited talk this morning titled, "Personalized oncology, adaptive radiotherapy, and AI agents."

Dr. Steve Jiang gave an invited talk today at the Gilbert W. Beebe Symposium on AI and ML Applications in Radiation Therapy, Medical Diagnostics, and Radiation Occupational Health and Safety organized by National Academies. His talk was titled, "AI Agents for Adaptive Radiotherapy."

Honored to be named one of the AI 75 by Dallas Innovates and the @DRChamber! Grateful to be recognized among the top AI innovators in Dallas–Fort Worth for 2025.

Dr. Meixu Chen, one of our postdoctoral researchers and part of our Medical Artificial Intelligence and Automation Lab, presenting, "Advocating for Survival Prediction Models in Risk Stratification for Cancer Treatment Outcomes." #AAPM2025

Today we had the pleasure of welcoming Dr. Jessica Ouyang from UT Dallas Computer Science to our department as part of our AI in Medicine Series! Dr. Ouyang delivered an insightful talk titled "Organizing and Evaluating Information with Large Language Models."

We enjoyed today's visit from Dr. Wei Liu, PhD, DABR, FAAPM, FAIMBE of Mayo Clinic Arizona and hearing him speak on the topic, "Large Language Models in Radiation Oncology: From Method Development To Clinical Implementation."

Jiaxin Li, Ph.D., postdoctoral fellow and member of the Medical Artificial Intelligence and Automation Lab, presented her work, “Personalized Simulation of Radiation-induced Immune Suppression for Head-and-Neck Cancer Across Various Radiotherapy Regimens.” Dr. Li is a recipient of the #ASTRO25 Recognition Award.

Hao Gao, Ph.D., our Director of Physics Research and member of the Medical Artificial Intelligence and Automation Lab, presented his work entitled, “An Omni-Optimizer of Range Modulation, Scanning Path, Beam Current, and Spot Intensity for Proton Flash.” #ASTRO25

A grad student researcher in #medphys and member of the Medical Artificial Intelligence and Automation Lab, Qingying Wang presented her work entitled, “Universal Deep Learning Dose Prediction for IMRT Planning,” during a #cancerphysics session. #ASTRO25

Sad I can’t make it to CNS meeting this year… But it’s for the best reason: I just started my new position at the Medical Artificial Intelligence and Automation Lab at UT Southwestern Medical Center 🧠 Super excited to integrate radiosurgery, neurosurgery, and AI for the future. Stay tuned. 🚀