May Talk: AI Advancements in Healthcare: Automated Whole‐Brain Radiation Therapy Treatment Planning (HYBRID)
More than 40% of patients with cancer develop brain metastases, and Whole-Brain Radiation Therapy (WBRT) treatment is a well-established treatment for patients with brain metastases by radiologically controlling both visible tumors and invisible micro-metastases. However, conventional WBRT treatment planning is time-consuming. In addition, institutions vary in their clinical approaches to WBRT treatment planning. Furthermore, limited resources in low-to-middle-income countries can lead to delays, especially with regard to human resources. In this work, we developed, evaluated, and deployed a fully automated, muti-approaches, AI-based treatment planning solution for whole-brain radiotherapy (WBRT).
Date and Time
Location
Hosts
Registration
- Date: 20 May 2024
- Time: 06:30 PM to 06:32 PM
- All times are (UTC-05:00) Central Time (US & Canada)
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- 300 3rd Ave SW
- Rochester, Minnesota
- United States 55902
- Building: Medical Sciences Building
- Room Number: Mann Hall
- Starts 09 May 2024 12:00 AM
- Ends 20 May 2024 03:30 PM
- All times are (UTC-05:00) Central Time (US & Canada)
- No Admission Charge
Speakers
Yao Xiao, PhD of Mayo Clinic
Biography:
Dr. Yao Xiao specializes in AI-driven research to advance medical technologies. Yao is currently a senior data science analyst at Mayo Clinic. Previously at MD Anderson Cancer Center as a postdoctoral researcher, her work on deep learning for radiation field aperture design received FDA approval in 2023. Dr. Xiao earned her Ph.D. in Biomedical Engineering from the University of Florida in 2020, with honors and as the commencement speaker. With a multidisciplinary background, including a Master's in Computer Science and a Bachelor's in Software Engineering, she is dedicated to developing more reliable, feasible, and cost-effective solutions focusing on AI advancements to support disease diagnosis, treatment planning, and preventive healthcare initiatives.
Agenda
6:30 - 7:00 Social half hour to grab food and drink
7:00 - 8:00 Technical talk