But there’s a great deal of promise beyond locked algorithms that’s ripe for application in the health care space, and which requires careful oversight to ensure the benefits of these advanced technologies outweigh the risks to patients.
Scott Gottlieb
U.S. Food and Drug Administration commissioner, 2017–2019
In a 2019 FDA statement, Scott Gottlieb said adaptive medical AI required careful oversight so its benefits would outweigh risks to patients.
FDA commissionerApril 2, 2019U.S. Food and Drug Administration
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Surrounding words
These locked algorithms are modified by the manufacturer at intervals, which includes “training” of the algorithm using new data, followed by manual verification and validation of the updated algorithm. But there’s a great deal of promise beyond locked algorithms that’s ripe for application in the health care space, and which requires careful oversight to ensure the benefits of these advanced technologies outweigh the risks to patients. These machine learning algorithms that continually evolve, often called “adaptive” or “continuously learning” algorithms, don’t need manual modification to incorporate learning or updates.
What this quote does not say
- In the same statement, Gottlieb said AI could have a profound positive impact on health care and sought oversight that would allow beneficial and innovative software to reach the market while maintaining safety.
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