From
StayCurrentMD
Artificial Intelligence Applications in Healthcare - Transforming Healthcare, Episode 7, Part 2
hosted by Dr. Em Gootee & Dr. Cecilia Gigena
Part of
Sepsis 6 items
Chapter 1 of 4 · Fundamentals
Introduction
Introduction and Episode Context
Expert statements on this page
No expert statements were drawn from this page.
Host summaries · secondary, not cited in answers
Educational content from recorded physician discussions — not medical advice. Talk to your (or your child's) care team about your situation.
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What the experts said
Current roles for AI in medical settings are mostly for clinical decision support and imaging analysis.
Clinical decision support tools help providers make decisions about treatments, medications, mental health, and other patient needs.
AI tools are being used to analyze CT scans, X-rays, MRIs in medical imaging.
Innocence BD uses predictive AI to identify infants at risk of developing sepsis by up to several hours.
The Innocence BD sepsis detection system is 75% accurate in detecting severe sepsis.
The Innocence BD system generates less than one false alarm per week.
Harvard University teaching hospital doctors developed an AI-enhanced microscope to scan for harmful bacteria like E. coli and staphylococcus in blood samples at a faster rate than manual scanning.
The Harvard AI microscope system identifies and predicts E. coli and staphylococcus bacteria in blood with 95% accuracy.
Johns Hopkins Hospital uses predictive AI techniques to improve the efficiency of patient operational flow.
AI quickly prioritizes hospital activity to benefit patients at Johns Hopkins Hospital.
Since implementing the AI program, Johns Hopkins Hospital has assigned admitted patients 38% faster.