Published by
@ShahidNShah
@ShahidNShah
Risks and remedies for artificial intelligence in health care
Artificial intelligence (AI) is rapidly entering health care and serving major roles, from automating drudgery and routine tasks in medical practice to managing patients and medical resources.
As developers create AI systems to take on these tasks, several risks and challenges emerge, including the risk of injuries to patients from AI system errors, the risk to patient privacy of data acquisition and AI inference, and more.
Potential solutions are complex but involve investment in infrastructure for high-quality, representative data; collaborative oversight by both the Food and Drug Administration and other health-care actors; and changes to medical education that will prepare providers for shifting roles in an evolving system.
Read on brookings.edu
Continue reading at brookings.edu
Make faster decisions with community advice
- CMS releases proposed and final rules to make hospitals and insurers post prices, cost-sharing information
- The female problem: how male bias in medical trials ruined women's health
- Yes, Google's using your healthcare data – and it's not alone
- 3 Common Mistakes When Migrating to the Cloud
- HHS to probe if Google’s 'Project Nightingale' followed privacy law
Next Article
-
The female problem: how male bias in medical trials ruined women's health
Centuries of female exclusion has meant women’s diseases are often missed, misdiagnosed or remain a total mystery. “For much of documented history, women have been excluded from medical and science …
Posted Nov 15, 2019 #womenshealth
