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When Should You Trust a Machine With Your Life?

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Manage episode 483958659 series 2794572
Content provided by Jeremy Grater, Zach Tucker, Jason Haworth, and Joe Villegas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeremy Grater, Zach Tucker, Jason Haworth, and Joe Villegas or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Could AI robots be better at diagnosing you than your actual doctor?

Healthcare AI sounds promising until you realize it can't tell the difference between your seasonal allergies and that weird parasite crawling up places it shouldn't be. We sit down with an actual MD, Dr. Ajit Barron-Dhillon, to discuss the terrifying reality of AI in healthcare, why digital diagnosis might make us dumber, and how insurance companies could weaponize medical AI to deny you even more coverage.

Three main benefits from this episode:

  1. Learn the real limitations of AI in medical diagnosis and when you should still see an actual human
  2. Discover how AI could be useful as a bridge between therapy appointments for mental health support
  3. Understand the potential dangers of automated healthcare in our profit-focused medical system

Check out this episode of The Fit Mess to discover if robots will be replacing your doctor anytime soon.

Topics Discussed
  • AI's accuracy in medical diagnosis compared to human doctors (77% vs 66%)
  • The dangers of relying on AI for self-diagnosis instead of seeking professional help
  • How regional and seasonal factors impact medical diagnoses that AI might miss
  • The potential for insurance companies to use AI to minimize costs and deny coverage
  • Using AI as a mental health resource between therapy sessions
  • The importance of human clinical observation in catching rare or unusual conditions
  • How AI might make healthcare more automated but potentially less personalized
  • The challenges of AI interpreting medical data like blood work and lab results correctly
  • The "Google effect" where people search for information that confirms what they want to hear
  • The potential for collaborative approaches between AI and human medical professionals

----

GUEST WEBSITE:

----

MORE FROM THE FIT MESS: Connect with us on Threads, Twitter, Instagram, Facebook, and Tiktok Subscribe to The Fit Mess on Youtube

Join our community in the Fit Mess Facebook group

----

LINKS TO OUR PARTNERS:

  continue reading

296 episodes

Artwork
iconShare
 
Manage episode 483958659 series 2794572
Content provided by Jeremy Grater, Zach Tucker, Jason Haworth, and Joe Villegas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jeremy Grater, Zach Tucker, Jason Haworth, and Joe Villegas or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Could AI robots be better at diagnosing you than your actual doctor?

Healthcare AI sounds promising until you realize it can't tell the difference between your seasonal allergies and that weird parasite crawling up places it shouldn't be. We sit down with an actual MD, Dr. Ajit Barron-Dhillon, to discuss the terrifying reality of AI in healthcare, why digital diagnosis might make us dumber, and how insurance companies could weaponize medical AI to deny you even more coverage.

Three main benefits from this episode:

  1. Learn the real limitations of AI in medical diagnosis and when you should still see an actual human
  2. Discover how AI could be useful as a bridge between therapy appointments for mental health support
  3. Understand the potential dangers of automated healthcare in our profit-focused medical system

Check out this episode of The Fit Mess to discover if robots will be replacing your doctor anytime soon.

Topics Discussed
  • AI's accuracy in medical diagnosis compared to human doctors (77% vs 66%)
  • The dangers of relying on AI for self-diagnosis instead of seeking professional help
  • How regional and seasonal factors impact medical diagnoses that AI might miss
  • The potential for insurance companies to use AI to minimize costs and deny coverage
  • Using AI as a mental health resource between therapy sessions
  • The importance of human clinical observation in catching rare or unusual conditions
  • How AI might make healthcare more automated but potentially less personalized
  • The challenges of AI interpreting medical data like blood work and lab results correctly
  • The "Google effect" where people search for information that confirms what they want to hear
  • The potential for collaborative approaches between AI and human medical professionals

----

GUEST WEBSITE:

----

MORE FROM THE FIT MESS: Connect with us on Threads, Twitter, Instagram, Facebook, and Tiktok Subscribe to The Fit Mess on Youtube

Join our community in the Fit Mess Facebook group

----

LINKS TO OUR PARTNERS:

  continue reading

296 episodes

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