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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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6:02

(Sponsored) Why solid digital foundations are necessary before scaling clinical AI

Dr Tim Ferris, VP of Healthcare Practice at InterSystems, emphasises that AI is an enhancement tool rather than a standalone fix, requiring strong data interoperability and stability.

(Sponsored) Why solid digital foundations are necessary before scaling clinical AI
Dr Tim Ferris, VP of Healthcare Practice at InterSystems, emphasises that AI is an enhancement tool rather than a standalone fix, requiring strong data interoperability and stability.
6:02
10:04

(Sponsored) AI as additional clinical intelligence layer

Wolters Kluwer sees UpToDate Expert AI evolving towards a single interface that draws on more clinical content and, eventually, patient context, says clinical AI head Dr Sheila Bond.

(Sponsored) AI as additional clinical intelligence layer
Wolters Kluwer sees UpToDate Expert AI evolving towards a single interface that draws on more clinical content and, eventually, patient context, says clinical AI head Dr Sheila Bond.
10:04
9:45

(Sponsored) Zoom looks beyond telehealth with expansion into clinical workflows.

Randy Maestre, head of Industry Marketing at Zoom, outlines how the company is broadening its focus beyond virtual visits to clinical documentation, patient experience, and healthcare operations.

(Sponsored) Zoom looks beyond telehealth with expansion into clinical workflows.
Randy Maestre, head of Industry Marketing at Zoom, outlines how the company is broadening its focus beyond virtual visits to clinical documentation, patient experience, and healthcare operations.
9:45