BCH AI & Machine Learning Working Group

Speakers included:

• John N. Kheir, MD, Department of Cardiology, and Mauricio Santillana, PhD, Computational Health Informatics Program: Predicting unnecessary blood testing for serum potassium in the CICU
• Maimuna Majumder, PhD, Computational Health Informatics Program: Machine learning applications during COVID-19
• Rudolph Pienaar, PhD, Department of Radiology: The practical reality of using AI in medical compute
• Jess Zhang, MPH, and Guarav Tuli, PhD, Innovation Program: Using machine learning to predict food allergy risk
• Guergana Savova, PhD, Computational Health Informatics Program: How NLP can contribute to various areas of biomedicine — translational science, disease surveillance, clinical decision making, point of care, etc.
• Timothy Miller, PhD, Computational Health Informatics Program: Extracting useful information from clinical text with NLP
• Amir Kimia, MD, Clinical Informatics Fellowship, Division of Emergency Medicine: A taste of NLP: Clinical domain experts — helping us to help them
• Ata Kiapour, PhD, Orthopedic Center: Deep learning for tracking tissue healing following knee surgery
• Ben Reis, PhD, Computational Health Informatics Program: Predicting the Future in Clinical Settings
• Yangming Ou, PhD, Department of Radiology: AI+ Imaging to Advance Medicine
• Mauricio Santillana, PhD, Computational Health Informatics Program: Machine learning to monitor and forecast epidemic outbreaks and patient outcomes in intensive care units
• Alireza Akhondi-Asl, PhD, Perioperative & Critical Care Center for Outcomes Research and Evaluation: Estimation of state of cerebral autoregulation using a deep long short-term memory (LSTM) network
• Hsin-Hsao Scott Wang, MD, MPH, MBAn, Urodynamics Program: A new analytical method to solve challenging and critical clinical studies