How AI systems are being evaluated for use in medical care

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The World Health Organization has estimated that there is a global shortfall of approximately 4.3 million doctors and nurses, with poorer countries disproportionally impacted. In the U.S., these shortages are less acute; instead, the country struggles with ever-increasing heath care costs, which often translate into limits on the time a patient is able to spend with a doctor. One study estimated that U.S. doctors spend on average just 13 to 16 minutes with each patient.

Developments in the use of artificial intelligence technologies in medical care are beginning to demonstrate AI’s potential to improve the quality of patient care. Around the globe, researchers are studying how AI might become a new tool in the caregiver tool kit. From diagnosis, to personalized medical advice, to insights into genetics, AI is emerging as a new factor in medical care.

So against this backdrop of a global shortage in doctors and nurses, and cost-driven strains in patient care, let’s take a look at some of the ways AI systems are being evaluated for use in medical care.

Read the source article at Entefy Blog.