Despite its current limitations, supporters say A.I. promises earlier cancer diagnoses and shorter timelines for developing and testing new medications. How artificial intelligence is already impacting the health care you receive:
patients that suggested they would benefit from a transplant. For others, the risky, painful, and expensive procedure would probably only provide false hope.blood pressure
AI has already helped medical administrators and schedulers with billing and making better use of providers’ time—though it still drives many doctors crazy because of the tediousness of the work and the time spent typing rather than interacting with the patient.
Computer scientists who build digital algorithms can also unintentionally introduce racial and demographic bias.might be driven by one factor in one group of people, while in another population, a different factor might be the main cause, Nohaile says. “I don’t want a doctor saying to someone, ‘You’re at no or low risk’ and it’s wrong,” he says. “If it does go wrong, it probably will fall disproportionately on disadvantaged populations.
One algorithm they created combs through medical records to determine which patients are at increased risk of falling. Notifying the staff of this extra risk means they can take steps to prevent accidents. Freeman says the predictive model his team developed outperforms the previous model by 30% to 40%. They’ve trained another system to identify patients at high risk for malnutrition who might benefit by spending time with a hospital nutritionist.
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