The rate of harms to the mental and physical health of individuals who frequently use pornography is accelerating, and AI is playing a key role in driving porn addiction as well as “escalation to more violent material.”

AI and machine learning are adept at selecting good candidates for total joint arthroplasty and predicting which patients will and won’t experience post-op complications.

Baseball Hall of Famer Yogi Berra famously stated that “You can observe a lot just by watching.” New research shows just how right he was.

Researchers have combined AI with a common camera and a laptop computer to virtually modernize older-tech pumps and monitors positioned at patients’ bedsides.

The field of mHealth applications to assist nonprofessional caregivers of Alzheimer’s patients is thin, weak and in need of innovators. 

If COVID put telemedicine’s pedal to the metal, it was only speeding up evolutionary change fueled by advances in technology prior to 2020.

Mayo Clinic researchers have demonstrated an AI-based system for untangling the meandering routes taken by electric stimulation pulses delivered to a single region of the brain.

Researchers in the U.S. and China have meshed AI with blood testing and CT lung imaging to accurately predict which newly diagnosed COVID-19 patients will need a mechanical ventilator.

AI has shown strong potential for predicting which recently hospitalized patients will develop pressure injuries (PIs), also known as pressure ulcers or bedsores, if they aren’t treated early with preventive medicine.

After training deep neural networks on around 4,000 slide images from around 40 biopsied kidney patients, UCLA engineers have virtually re-stained tissue images for speedier high-accuracy diagnostics than a human histotechnologist could support.  

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.

Researchers have achieved accuracies of 99.4% and 94.3% in two algorithmic methods for monitoring, diagnosing or ruling out Parkinson’s disease going only by individuals’ spoken words.

Around the web

Two different companies announced that they are recalling all lots of the medication. 

CardioSmart, an online resource for both patients and clinicians, has a new editor. 

The funding includes $8.5 billion in American Rescue Plan resources for providers who treat Medicaid, Children's Health Insurance Program and Medicare patients.