AI in Health

Design firm Artefact Group has revealed a concept that would make the future of healthcare mobile. Integrating passive monitoring technologies in the home, a smartphone app, AI diagnostics and a self-driving clinic, the system combines a variety of innovations for a new spin on healthcare.

A new study found that a single radiologist screening mammograms picked up more incidents of breast cancer when supported by AI. The researchers say an AI-supported approach would be a safe alternative to having two radiologists read the scans.

​​When it comes to medical ailments and their diagnosis, time is absolutely of the essence. And lately we are seeing how artificial intelligence is poised to play a monumental role in detecting tell-tale signs of disease long before doctors can.

Using AI to spot melanoma in its early stages is an exciting possibility, and a new deep-learning system developed by Harvard and MIT scientists promises a new level of sophistication, by using a method known as the “ugly duckling” criteria.

Scientists may have identified three new subtypes of multiple sclerosis. Analyzing thousands of MRI scans, AI algorithms uncovered patterns regarding which areas of the brain are affected first, which could lead to more focused treatment options.

Everyone responds to general anesthetics differently, which can make administering the correct dose tricky. A new device is designed to help, by continuously monitoring anesthetic levels in patients' bloodstreams during surgical procedures.