BCH AI and Machine Learning Working Group Lightning Talks

Date: September 9, 2020 at 09:30AM - 10:30AM

The BCH AI and Machine Learning Working Group held our first Lightning Talks session, where multiple investigators gave brief overviews of numerous Machine Learning applications at Boston Children’s Hospital to foster clinical and machine learning collaborations across the hospital.

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


Publications

Chen KY, Borglund EM, Postema EC, Dunn AG, Bourgeois FT. Reporting of clinical trial safety results in ClinicalTrials.gov for FDA-approved drugs: A cross-sectional analysis. Clinical trials (London, England) 2022.

Le Naour J, Sztupinszki Z, Carbonnier V, Casiraghi O, Marty V, Galluzzi L, Szallasi Z, Kroemer G, Vacchelli E. A loss-of-function polymorphism in compromises therapeutic outcome in head and neck carcinoma patients. Oncoimmunology 2022.

Klann JG, Strasser ZH, Hutch MR, Kennedy CJ, Marwaha JS, Morris M, Samayamuthu MJ, Pfaff AC, Estiri H, South AM, Weber GM, Yuan W, Avillach P, Wagholikar KB, Luo Y, Omenn GS, Visweswaran S, Holmes JH, Xia Z, Brat GA, Murphy SN. Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions: A National Retrospective EHR Study. Journal of medical Internet research 2022.