Join Us for Interactive, Hands On AI workshop featuring 3 of the top academic medical centers in the country
May 25th, 2022
1:00 - 2:30PM
AI strategy and delivery: developing and deploying real-time AI in patient care
AI-based tools built from comprehensive physiologic waveform datasets are key to delivering 'patient-centric' care at scale.
Join us to see how healthcare leaders are accessing waveform and other time-series data to close the loop from development to deployment of real-time, patient centric AI. See how complete datasets improve the accuracy of model fitting.
Get the opportunity to work with sample models and data. Meet directly with world-renowned researchers and physicians to discuss their work through an interactive workshop featuring 5 hands-on stations.
1. Ryan Melvin, PhD, Principal Data Scientist and Assistant Professor
2. James Fackler, MD, Associate Professor of Anesthesiology and Critical Care Medicine
3. Josh Hagood, Director of Information Technology, Department of Anesthesiology and Perioperative Medicine
4. Parag Jain, MD, Associate Professor of Pediatrics
Stop by MIC Booth, C3, at the conference to see a demo of Sickbay, the platform powering this research, multi-modal monitoring, and development and deployment of AI
Check out video clips from other providers and researchers leveraging Sickbay for research and clinical care:
Stephanie Cha, MD, Assistant Professor Anesthesiology and Critical Care
Remote monitoring of ECMO patients
Dr. Bergmann, MD, MHS, T32 Clinical Research Fellow and Pediatric Critical Care Medicine
The importance of high frequency data vs. EMR data
Craig Rusin, PhD, Associate Professor at Baylor College of Medicine, Texas Children's Hospital, and Associate Professor at Rice University
Predicting cardiorespiratory deterioration 1-2 hours in advance in HLHS patients
Danielle Rios, MD, MS, Clinical Associate Professor of Pediatrics-Neonatology
Cardiopulmonary Conference: Capturing cardiovascular monitoring data for improved research & care
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See a full list of other research papers and publications powered by Sickbay
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See how Sickbay apps accelerate research and algorithm development
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Stephanie Cha, MD, Assistant Professor Anesthesiology and Critical Care
Remote monitoring of ECMO patients
Dr. Bergmann, MD, MHS, T32 Clinical Research Fellow and Pediatric Critical Care Medicine
The importance of high frequency data vs. EMR data
Craig Rusin, PhD, Associate Professor at Baylor College of Medicine, Texas Children's Hospital, and Associate Professor at Rice University
Predicting cardiorespiratory deterioration 1-2 hours in advance in HLHS patients
Danielle Rios, MD, MS, Clinical Associate Professor of Pediatrics-Neonatology
Cardiopulmonary Conference: Capturing cardiovascular monitoring data for improved research & care
Need More Info?
See a full list of other research papers and publications powered by Sickbay
See how Sickbay apps accelerate research and algorithm development
Not able to attend the conference?