In hospitals where patients are routinely X-rayed following surgery, AI-equipped CAD software could screen for left-behinds automatically.

Cambridge University researchers propose using the technique to predict individuals’ health issues over time and intervene early with personalized preventive care.

Is the world ready for AI-equipped smartphones that can reliably identify or rule out COVID-19 based on audio data from coughing and speaking?

In cancer research settings, AI has shown strong capabilities for predicting risk, recurrence and survivability over the past 10-plus years. Yet real-world cancer mortality remains largely unchanged to the present day. Why is that?

Researchers have demonstrated the feasibility of AI-based smartphone interventions for young people who have attempted suicide and may try again.

If AI for medical diagnostics is to lift the health status of populations—and thus fulfill its implicit global promise—it’s going to need stronger regulatory guidance than it’s gotten to date. 

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

If Mayo Clinic focus groups reflect widely held views, many healthcare consumers will balk if someone other than a physician is put in charge of applying healthcare AI to real-world clinical care.  

Machine learning can deliver an objective appraisal of cosmetic surgery’s success at making aging faces appear younger and happier, according to Mayo Clinic researchers.

Researchers have used machine learning to track diabetes at the population level.