CloudMedx builds LLMs To Solve the Five Biggest Challenges for AI in Healthcare

Updated

While numerous industries are rapidly adopting artificial intelligence, one of the largest -- the massive healthcare sector -- has been struggling. AI for healthcare presents unprecedented opportunities, with a study indicating it can save lives and reduce healthcare cost by up to $360 billion a year in the United States alone. 

But a series of challenges unique to healthcare have stood in the way -- until now. CloudMedx, a team of top engineers, data scientists, doctors, and innovators, is developing the tools and technology to overcome the five biggest challenges for Healthcare AI:

  • The need for accuracy, with sub-domain fine tuning
  • Avoiding or reducing hallucination
  • Data privacy and security
  • Integration into existing workflows
  • The ability to scale rapidly

The solution, part of the ONE Platform, is already up and running inside healthcare institutions, improving patient's health, transforming operations and providing a tremendous competitive advantage.

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Source: CloudMedx Inc