AI's Promise and Perils for Healthcare
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AI has potential to make healthcare more efficient, affordable, accurate, and equitable, but it also comes with risks like worsening health inequities, patient harm, and threats to privacy.
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Main risks include biased algorithms that can worsen racial inequities, hacking of health data, limits on privacy, uncontrolled changes by adaptive AI, and accountability for errors.
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Regulations needed to oversee data storage, access, algorithm accuracy, transparency, and assign liability, but strategy is still undetermined.
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Likely a public-private partnership between FDA, developers, third-party organizations to vet, certify, and monitor algorithms before and after deployment.
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Doctors have mix of excitement and concerns about integrating AI; regulations expected in 1-2 years.