QP 11 - DHI 2: Innovative Uses of AI in Cancer Treatment and Patient Care

Moderator(s)

• YX

  Ying Xiao, PhD, FASTRO, DABR

  University of Pennsylvania
  Philadelphia, PA
• 

  Haidy Nasief, MS, PhD, MSCE

  Froedtert and Medical College of Wisconsin
  Milwaukee, WI

Presentations:

• 2:30 PM – 2:35 PM ET

  Introduction
• 2:35 PM – 2:40 PM ET

  Bridging Prediction and Causality: Deciphering Clinical Outcomes in Locally Advanced Non-Small Cell Lung Cancer Treated with Chemoradiation via Multitask Machine Learning and Causal Inference of Proto
  

  Presenter: Sang Ho Lee, PhD – University of Pennsylvania
• 2:40 PM – 2:45 PM ET

  Deep Learning Based Facial Age Phenotyping in a Large-Scale, Real-World Cancer Patient Population
  

  Presenter: Grace Lee, MD – Harvard Radiation Oncology Program
• 2:45 PM – 2:50 PM ET

  Predicting Acute Care Visits during Radiation Therapy with Machine Learning and Natural Language Processing
  

  Presenter: Sarah Hampson, MD – University of California San Francisco
• 2:50 PM – 2:55 PM ET

  Pulmonary Vessel Dosimetry and Morphological Re-Modeling after Thoracic Radiation Therapy
  

  Presenter: Christian Guthier, PhD, MS – Brigham and Womens Hospital
• 2:55 PM – 3:00 PM ET

  Predicting Pulmonary Toxicity in Lung Cancer Patients with Interstitial Lung Disease Receiving SABR Using Machine Learning: A Secondary Analysis of ASPIRE-ILD
  

  Presenter: Matthew Gil, MSc – National Health Service
• 3:00 PM – 3:10 PM ET

  Discussant
  

  Discussant: Andrew Hope, MD – Princess Margaret Cancer Center / University of Toronto
• 3:10 PM – 3:25 PM ET

  Questions and Answers
• 3:25 PM – 3:30 PM ET

  Closing