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#95, Boosting Pathologist Productivity with AI, with Joseph (Yossi) Mossel from Ibex AI

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Treść dostarczona przez AWS Startups. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez AWS Startups lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

In this episode of the AWS Health Innovation Podcast, we explore how Ibex AI is transforming cancer diagnosis with artificial intelligence. Host Guy Spigelman, EMEA lead for Healthcare and Life Sciences Startups at Amazon Web Services, sits down with Joseph (Yossi) Mossel, Co-Founder and CEO of Ibex AI, a pioneering company in AI-based cancer diagnostics for pathology.

How did the founders of Ibex AI recognize the potential for AI in digital pathology?

  • Yossi Mossel and Chaim Linhart had no prior healthcare experience but were driven to start a mission-driven company that could leverage Israel's strengths in tech and digitized health records.
  • Their "aha moment" came when they learned about digital pathology scanners, leading them to apply AI to pathology diagnosis.

What key milestones did Ibex AI achieve in deploying their AI solution?

  • Ibex AI deployed its first AI algorithm for prostate cancer diagnosis at Maccabi Healthcare Services in Israel in early 2017, quickly validating its clinical impact by catching a misdiagnosis within days.
  • Wales was the first country to nationally deploy Ibex's AI across NHS trusts for prostate and breast cancer diagnosis.

How does Ibex AI prioritize seamless integration of their AI into clinical workflows?

  • Ibex AI focuses on partnerships to integrate its AI into existing healthcare workflows and platforms, recognizing that key factors for successful healthcare AI adoption include innovation, workflow integration, and an appropriate economic model.

Learn more about Ibex AI and their AI-powered cancer diagnostics platform on their website.

Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation.

Please take a moment and let us know what you think of the podcast, access our feedback survey here.

  continue reading

112 odcinków

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iconUdostępnij
 
Manage episode 430490982 series 3291628
Treść dostarczona przez AWS Startups. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez AWS Startups lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

In this episode of the AWS Health Innovation Podcast, we explore how Ibex AI is transforming cancer diagnosis with artificial intelligence. Host Guy Spigelman, EMEA lead for Healthcare and Life Sciences Startups at Amazon Web Services, sits down with Joseph (Yossi) Mossel, Co-Founder and CEO of Ibex AI, a pioneering company in AI-based cancer diagnostics for pathology.

How did the founders of Ibex AI recognize the potential for AI in digital pathology?

  • Yossi Mossel and Chaim Linhart had no prior healthcare experience but were driven to start a mission-driven company that could leverage Israel's strengths in tech and digitized health records.
  • Their "aha moment" came when they learned about digital pathology scanners, leading them to apply AI to pathology diagnosis.

What key milestones did Ibex AI achieve in deploying their AI solution?

  • Ibex AI deployed its first AI algorithm for prostate cancer diagnosis at Maccabi Healthcare Services in Israel in early 2017, quickly validating its clinical impact by catching a misdiagnosis within days.
  • Wales was the first country to nationally deploy Ibex's AI across NHS trusts for prostate and breast cancer diagnosis.

How does Ibex AI prioritize seamless integration of their AI into clinical workflows?

  • Ibex AI focuses on partnerships to integrate its AI into existing healthcare workflows and platforms, recognizing that key factors for successful healthcare AI adoption include innovation, workflow integration, and an appropriate economic model.

Learn more about Ibex AI and their AI-powered cancer diagnostics platform on their website.

Get in touch with AWS here to learn how we can help your organization accelerate healthcare innovation.

Please take a moment and let us know what you think of the podcast, access our feedback survey here.

  continue reading

112 odcinków

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