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

Geisler BP, Zahabi L, Lang AE, Eastwood N, Tennant E, Lukic L, Sharon E, Chuang HH, Kang CB, Clayton-Johnson K, Aljaberi A, Yu H, Bui C, Le Mau T, Li WC, Teodorescu D, Hinske LC, Sun DL, Manian FA, Dunn AG. Repurposing existing medications for coronavirus disease 2019: protocol for a rapid and living systematic review. Systematic reviews 2021.

Börcsök J, Diossy M, Sztupinski Z, Prosz A, Tisza V, Spisak S, Rusz O, Stormoen DR, Pappot H, Csabai I, Brunak S, Mouw KW, Szallasi Z. Detection of Molecular Signatures of Homologous Recombination Deficiency in Bladder Cancer. Clinical cancer research : an official journal of the American Association for Cancer Research 2021.

Geva A, Albert BD, Hamilton S, Manning MJ, Barrett MK, Mirchandani D, Harty M, Morgan EC, Kleinman ME, Mehta NM. eSIMPLER: A Dynamic, Electronic Health Record-Integrated Checklist for Clinical Decision Support During PICU Daily Rounds. Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 2021.

Li J, Tiwari A, Mirzakhani H, Wang AL, Kho AT, McGeachie MJ, Litonjua AA, Weiss ST, Tantisira KG. Circulating MicroRNA: Incident Asthma Prediction and Vitamin D Effect Modification. Journal of personalized medicine 2021.

Larsen RJ, Gagoski B, Morton SU, Ou Y, Vyas R, Litt J, Grant PE, Sutton BP. Quantification of magnetic resonance spectroscopy data using a combined reference: Application in typically developing infants. NMR in biomedicine 2021.