Seminars

Artificial Intelligence in Cancer Research

Thursday, January 23, 2020
3:30 pm - 5:00 pm

Location: BME 3.204

Speaker:
Steve Jiang, Ph.D.
Vice Chair and Professor, Department of Radiation Oncology
Director, Division of Medical Physics and Engineering
Medical Artificial Intelligence and Automation Laboratory
UT Southwestern Medical Center

Abstract:

The progress of artificial intelligence (AI) technologies has recently been exponential and shown to be both transformative and disruptive in many fields such as computer vision, natural language processing, audio processing, and automobile auto piloting. AI is expected to have a significant impact on healthcare, especially in the areas of individualized and precision medicine, medical image analysis, disease diagnosis assistance, treatment solution recommendation, care delivery optimization/automation/safety, treatment outcome and toxicity prediction, patient care in resource limited regions, medical error detection and quality assurance, assisted care and chronic disease management with wearable sensors, and surgical and rehabilitation robots. At the Medical Artificial Intelligence and Automation Laboratory (MAIA Lab), UT Southwestern Medical Center, we are working closely with clinicians and biologists to solve various important clinical problems in radiation therapy in specific and medicine in general. In this talk I will introduce our AI research work at MAIA Lab, mainly in the areas of organ segmentation and treatment target delineation, AI treatment planner, treatment outcome and toxicity prediction, peer review and error detection,  image reconstruction, restoration, super-resolution, and interpretation, wearable sensors and smart clinic.

Presenter Information