Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
Masimo's MightySat Medical is the first FDA-cleared pulse oximeter available to consumers without a prescription, which could disrupt the market for the notoriously inaccurate at-home devices.
MediView’s technologies utilize AR to provide clinicians with 3D “X-ray vision” guidance during minimally invasive procedures and surgeries, while also offering remote collaboration.
A health-management company in Arizona is expanding its use of AI to detect risk factors in Medicare Advantage patients by scanning doctors’ notes to automatically flag patients who need additional reimbursable care.
In the U.S., heart disease has been the reigning top cause of death for a number of years, but cancer is quickly becoming the top killer in some high-income and upper-middle-income countries, according to a new study published in The Lancet.
Minor disruptions in routine can cause serious setbacks in individuals with learning challenges and other neurological disabilities. The time may be ripe for combining AI with chaos theory to predict effects and outcomes.
Duke University researchers have used AI to boost the resolution of optical coherence tomography (OCT) to improve medical images across fields, from cardiology to oncology. Their findings were recently published in nature photonics.
Overall health status may soon be measurable by applying AI to electrocardiogram data, according to a journal from the American Heart Association, Circulation: Arrhythmia and Electrophysiology.
Urinary tract infections make up a significant portion of microbiological screening in diagnostic laboratories, yet nearly two-thirds of samples come up negative. But AI has the potential to improve the process by reducing the number of query samples and enabling diagnostic services to concentrate on those that many have actual infections.