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.
The diagnosis and treatment of a gut disease that can cause permanent damage in children can be sped up by the application of machine learning, according to researchers from the University of Virginia schools of Engineering and Medicine.
Radiology is the medical specialty most conducive to clinical AI applications. After all, the pre-AI technique of computer-aided detection has been used in mammography since 1998, for example. So it shouldn’t come as a surprise to find AI “app stores” rising in radiology.
Deep learning could help catch drug dealers who use social media to connect with customers, according to a study conducted at UC-San Diego and published June 14 in the Journal of Medical Internet Research.
AI is aiding in the diagnosis of several diseases and health risks, and researchers have recently found that machine learning can help predict the onset of psychosis, a debilitating mental disorder that can compromise an individual’s psychology and their ability to think and feel.
Harvard researchers have used machine learning to predict which patients soon to undergo an operation for low-back pain should be monitored for opioid dependence down the road.
Combining AI with advances in acoustic engineering, Australian researchers have developed an algorithm that can help diagnose common pediatric respiratory conditions such as asthma, croup and pneumonia.
