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AI/ML (639)

10:19

Tackling workforce challenges with 'computational leadership'

Brian Spisak, a Harvard research associate, discusses how a "leadership-first, tech-last" approach can raise satisfaction and address burnout among healthcare staff.

Tackling workforce challenges with 'computational leadership'
Brian Spisak, a Harvard research associate, discusses how a "leadership-first, tech-last" approach can raise satisfaction and address burnout among healthcare staff.
10:19
7:25

Empowering patients to analyze and monetize their medical data

Alex Diaconu, CEO of AiGIA Health, talks about the company's platform, which lets users aggregate their health data from multiple sources, analyze it with AI and share those insights with stakeholders or even sell it.

Empowering patients to analyze and monetize their medical data
Alex Diaconu, CEO of AiGIA Health, talks about the company's platform, which lets users aggregate their health data from multiple sources, analyze it with AI and share those insights with stakeholders or even sell it.
7:25
7:31

Building AI models at Mayo Clinic

Dr. Alexander Ryu, vice chair of AI and innovation at Mayo Clinic, discusses how his team builds and uses AI and ensures a lack of bias in its models by involving clinicians and when the team decides to partner with established AI companies.

Building AI models at Mayo Clinic
Dr. Alexander Ryu, vice chair of AI and innovation at Mayo Clinic, discusses how his team builds and uses AI and ensures a lack of bias in its models by involving clinicians and when the team decides to partner with established AI companies.
7:31
6:13

Deploying AI to understand at-risk population care needs

Pravin Pant, VP of advanced analytics, and Michael Gould, associate VP of interoperability strategy, both at ZeOmega, talk about how the company uses AI to identify vulnerable patient populations and suggest ways to improve their health outcomes.

Deploying AI to understand at-risk population care needs
Pravin Pant, VP of advanced analytics, and Michael Gould, associate VP of interoperability strategy, both at ZeOmega, talk about how the company uses AI to identify vulnerable patient populations and suggest ways to improve their health outcomes.
6:13
9:07

What will healthcare organizations do when AI has the accuracy of a doctor?

Instead of waiting weeks to see a specialist, patients one day could use an AI app to treat them the same day. How provider organizations react to artificial intelligence progress will be key, says Mount Sinai CMIO Dr. Bruce Darrow.

What will healthcare organizations do when AI has the accuracy of a doctor?
Instead of waiting weeks to see a specialist, patients one day could use an AI app to treat them the same day. How provider organizations react to artificial intelligence progress will be key, says Mount Sinai CMIO Dr. Bruce Darrow.
9:07
11:53

Soon, all of Mount Sinai's applications will incorporate some AI

That's the picture painted by Dr. Bruce Darrow, the interim chief digital and information officer and CMIO, who offers an overview of artificial intelligence used at the famed New York health system today.

Soon, all of Mount Sinai's applications will incorporate some AI
That's the picture painted by Dr. Bruce Darrow, the interim chief digital and information officer and CMIO, who offers an overview of artificial intelligence used at the famed New York health system today.
11:53
4:45

Piction Health discusses AI in dermatology

Susan Conover, cofounder and CEO of Piction Health, highlights the digital health company’s AI-enabled dermatology-focused offering, its recent $6 million raise and its plan to scale its reach and expand its partnerships across healthcare.

Piction Health discusses AI in dermatology
Susan Conover, cofounder and CEO of Piction Health, highlights the digital health company’s AI-enabled dermatology-focused offering, its recent $6 million raise and its plan to scale its reach and expand its partnerships across healthcare.
4:45
4:53

Medical school professor uses math to explain AI

Stéphanie Allassonière, professor of applied mathematics at the Univérsite Paris Cité, teaches medical students the basics of AI by showing them how clinical questions can be translated into mathematical challenges.

Medical school professor uses math to explain AI
Stéphanie Allassonière, professor of applied mathematics at the Univérsite Paris Cité, teaches medical students the basics of AI by showing them how clinical questions can be translated into mathematical challenges.
4:53
6:33

Evolving therapeutics alongside advancing technology

Aaron Gani, founder and CEO of RealizedCare, discusses how business models have changed in digital therapeutics as technology evolves and how pharma can leverage DTx modalities to collect data for R&D and thoroughly analyze patients.

Evolving therapeutics alongside advancing technology
Aaron Gani, founder and CEO of RealizedCare, discusses how business models have changed in digital therapeutics as technology evolves and how pharma can leverage DTx modalities to collect data for R&D and thoroughly analyze patients.
6:33
7:49

Deploying machine learning applications could be safer than generative AI

Ran Balicer, HIMSS board of directors member, says that, although executives may feel pressured to use "error-prone" generative AI, mature, proven machine learning applications should be deployed in clinical settings first.

Deploying machine learning applications could be safer than generative AI
Ran Balicer, HIMSS board of directors member, says that, although executives may feel pressured to use "error-prone" generative AI, mature, proven machine learning applications should be deployed in clinical settings first.
7:49
7:34

How healthcare organizations can reduce AI errors

Dr. Calum Yacoubian, director of NLP healthcare strategy at IQVIA, explains why generative AI and large language models sometimes give inaccurate answers and discusses techniques that can improve accuracy of those tools.

How healthcare organizations can reduce AI errors
Dr. Calum Yacoubian, director of NLP healthcare strategy at IQVIA, explains why generative AI and large language models sometimes give inaccurate answers and discusses techniques that can improve accuracy of those tools.
7:34
5:49

(Sponsored) Providers need to shape genAI proactively to deliver high quality results

Michael Ristau, VP of global marketing and international growth at Solventum (formerly 3M Health Care) explains that the company's provider IT solutions streamline documentation from "capture to code."

(Sponsored) Providers need to shape genAI proactively to deliver high quality results
Michael Ristau, VP of global marketing and international growth at Solventum (formerly 3M Health Care) explains that the company's provider IT solutions streamline documentation from "capture to code."
5:49
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Play video Tackling workforce challenges with 'computational leadership'
AI/ML
Tackling workforce challenges with 'computational leadership'
Play video Empowering patients to analyze and monetize their medical data
AI/ML
Empowering patients to analyze and monetize their medical data
Play video Building AI models at Mayo Clinic
AI/ML
Building AI models at Mayo Clinic
Play video Deploying AI to understand at-risk population care needs
AI/ML
Deploying AI to understand at-risk population care needs

View more in AI/ML (639 videos)

9:07

What will healthcare organizations do when AI has the accuracy of a doctor?

Instead of waiting weeks to see a specialist, patients one day could use an AI app to treat them the same day. How provider organizations react to artificial intelligence progress will be key, says Mount Sinai CMIO Dr. Bruce Darrow.

What will healthcare organizations do when AI has the accuracy of a doctor?
Instead of waiting weeks to see a specialist, patients one day could use an AI app to treat them the same day. How provider organizations react to artificial intelligence progress will be key, says Mount Sinai CMIO Dr. Bruce Darrow.
9:07
11:53

Soon, all of Mount Sinai's applications will incorporate some AI

That's the picture painted by Dr. Bruce Darrow, the interim chief digital and information officer and CMIO, who offers an overview of artificial intelligence used at the famed New York health system today.

Soon, all of Mount Sinai's applications will incorporate some AI
That's the picture painted by Dr. Bruce Darrow, the interim chief digital and information officer and CMIO, who offers an overview of artificial intelligence used at the famed New York health system today.
11:53
4:45

Piction Health discusses AI in dermatology

Susan Conover, cofounder and CEO of Piction Health, highlights the digital health company’s AI-enabled dermatology-focused offering, its recent $6 million raise and its plan to scale its reach and expand its partnerships across healthcare.

Piction Health discusses AI in dermatology
Susan Conover, cofounder and CEO of Piction Health, highlights the digital health company’s AI-enabled dermatology-focused offering, its recent $6 million raise and its plan to scale its reach and expand its partnerships across healthcare.
4:45
4:53

Medical school professor uses math to explain AI

Stéphanie Allassonière, professor of applied mathematics at the Univérsite Paris Cité, teaches medical students the basics of AI by showing them how clinical questions can be translated into mathematical challenges.

Medical school professor uses math to explain AI
Stéphanie Allassonière, professor of applied mathematics at the Univérsite Paris Cité, teaches medical students the basics of AI by showing them how clinical questions can be translated into mathematical challenges.
4:53
6:33

Evolving therapeutics alongside advancing technology

Aaron Gani, founder and CEO of RealizedCare, discusses how business models have changed in digital therapeutics as technology evolves and how pharma can leverage DTx modalities to collect data for R&D and thoroughly analyze patients.

Evolving therapeutics alongside advancing technology
Aaron Gani, founder and CEO of RealizedCare, discusses how business models have changed in digital therapeutics as technology evolves and how pharma can leverage DTx modalities to collect data for R&D and thoroughly analyze patients.
6:33
7:49

Deploying machine learning applications could be safer than generative AI

Ran Balicer, HIMSS board of directors member, says that, although executives may feel pressured to use "error-prone" generative AI, mature, proven machine learning applications should be deployed in clinical settings first.

Deploying machine learning applications could be safer than generative AI
Ran Balicer, HIMSS board of directors member, says that, although executives may feel pressured to use "error-prone" generative AI, mature, proven machine learning applications should be deployed in clinical settings first.
7:49
7:34

How healthcare organizations can reduce AI errors

Dr. Calum Yacoubian, director of NLP healthcare strategy at IQVIA, explains why generative AI and large language models sometimes give inaccurate answers and discusses techniques that can improve accuracy of those tools.

How healthcare organizations can reduce AI errors
Dr. Calum Yacoubian, director of NLP healthcare strategy at IQVIA, explains why generative AI and large language models sometimes give inaccurate answers and discusses techniques that can improve accuracy of those tools.
7:34
5:49

(Sponsored) Providers need to shape genAI proactively to deliver high quality results

Michael Ristau, VP of global marketing and international growth at Solventum (formerly 3M Health Care) explains that the company's provider IT solutions streamline documentation from "capture to code."

(Sponsored) Providers need to shape genAI proactively to deliver high quality results
Michael Ristau, VP of global marketing and international growth at Solventum (formerly 3M Health Care) explains that the company's provider IT solutions streamline documentation from "capture to code."
5:49