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20 seconds to understand AI’s role in healthcare
The broad role of AI in healthcare can be summarized most succinctly as follows: 1. Personalizing medicine: AI adapts to unique genetics/lifestyle like never before. 2. Solving the doctor shortage: within 10 years, the WHO projects a global shortage of 10.2 million health workers, including doctors. 3. Relief from an overload of paperwork: reducing the…
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The risks and downsides of AI in health.
I discussed the advantages of using AI in health in articles like this and this, but to have a balanced view it’s important to also understand the risks and downsides. In this article I cover: Real-world examples where AI went wrong in health Incorrect cancer treatments – IBM Watson for Oncology Racial bias – Optum…
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AI’s Crazy Impact on Medical Research
A brilliant engineer within the YouRise community named Brice (pictured left), asked me recently where I thought AI would make the greatest impact in medicine; my answer = medical research. It will sift through huge amounts of genetic, medical, and real-world health data — like a “Google for biology” — to suggest new treatments and…