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Automating ML and AI to improve speed, accuracy of predictive models
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Automating ML and AI to improve speed, accuracy of predictive models

3:58

(Sponsored) DataRobot describes how advances in auto-machine learning and predictive analytics are enabling healthcare enterprises to be AI-driven.

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(Sponsored) Initiative seeks to connect Europe's digital health future

Anton Hasselgren, ecosystem lead at 28DIGITAL, discusses how the UNITE project is bringing together regions, hospitals, startups, public agencies and industry partners to enable borderless European digital health services.

(Sponsored) Initiative seeks to connect Europe's digital health future
Anton Hasselgren, ecosystem lead at 28DIGITAL, discusses how the UNITE project is bringing together regions, hospitals, startups, public agencies and industry partners to enable borderless European digital health services.
2:34
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(Sponsored) Ambient AI can turn documentation into clinical intelligence

Katie Prevas, Suki AI's medical director, says ambient AI tools can do more than compile visit notes, including preparing patient summaries, understanding clinical context and improving coding to reduce claim denials.

(Sponsored) Ambient AI can turn documentation into clinical intelligence
Katie Prevas, Suki AI's medical director, says ambient AI tools can do more than compile visit notes, including preparing patient summaries, understanding clinical context and improving coding to reduce claim denials.
8:49
6:43

(Sponsored) Demonstrating AI ROI through unified platforms

Hongxia Huang, VP of iMedway, explains how hospitals can eliminate duplicated work and control operational costs by consolidating AI onto a unified platform with task-matched models.

(Sponsored) Demonstrating AI ROI through unified platforms
Hongxia Huang, VP of iMedway, explains how hospitals can eliminate duplicated work and control operational costs by consolidating AI onto a unified platform with task-matched models.
6:43