Emerging Technologies

Going on a year and a half since its debut as a COVID symptom checker, one virtual health assistant is now trained on 17 million patient interactions. 

Beginning around 2031, autonomous virtual assistants will deliver precision preventive medicine while networked provider orgs offer closely connected care via single, shared digital infrastructures.

An online survey completed by more than 900 U.S. adults reveals an overall openness to AI for several scenarios in healthcare.

Early on in the development of digital image recognition, the technology showed a penchant for taking logical but potentially problematic shortcuts: It would look to image artifacts and incidental “asides” such as background features to distinguish between two visually similar subjects.

Before colonoscopy AI can progress from lab to clinic on a broad scale—and win regulatory approvals along the way—it has to show its diagnostic mettle in numerous large clinical trials conducted at multiple facilities.

Not so fast with explainable AI in healthcare, warns an international and multidisciplinary team of academics.

As machine learning progresses from research settings to clinical practice, how are clinicians to know they can trust the machine’s conclusions to guide care for actual patients?

Infants in pain can’t describe the severity of their discomfort, but NICU nurses can e-learn how to gauge pain degrees according to standardized scales, allowing for prompt and appropriate pain-relief interventions.

Many cases will be handled by primary-care providers, eye technicians and even patients themselves connected by telehealth and armed with commercial test kits and AI.

Along with AI in its various iterations, the list may include virtual and augmented reality, 3D printing, robotics and other technologies currently changing healthcare delivery.

The authors concentrate on robotic technologies that either augment a surgeon’s movements or simplify a multistep process.

The experimental approach delivers a more natural sound by correcting for the need to place microphones at impractical points like the forehead.

   
   
   
   
   
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