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“Much of clinician burnout is due to spending time writing notes, placing orders, generating referrals, writing prior authorization letters, and creating patient communication. In other words, burnout is caused by physicians having to generate output! With the emergence of large language models that are used to train generative AI solutions, these use cases will be at the frontier of AI’s applications in healthcare.”

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Book:AI Doctor: The Rise of Artificial Intelligence in Healthcare - A Guide for Users, Buyers, Builders, and Investors
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“Used in combination with genomics, AI could help pharma companies to develop new drugs for rare diseases. The rarer a disease is, the smaller the market is and so the less likely it is to have been addressed. Big pharma is hesitant to take on the high development costs for new drugs if there’s no sign of a return on investment. Biological processes are complex, and that means that they lead to multidimensional data that human beings struggle to wrap their heads around. The good news is that AI is the perfect tool to spot patterns in this kind of data.”

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Book:AI Doctor: The Rise of Artificial Intelligence in Healthcare - A Guide for Users, Buyers, Builders, and Investors
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