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Three reasons how AI disrupts health care

Soon it will be time for IT consulting VA or other infrastructure technology services anywhere in the US – or the world, for that matter- could find themselves busy with more of IT advancements disrupting a lot of industries and the medical science field is not an exception.

AI for improved medical diagnosis and outcomes
The US Food and Drug Administration (FDA) has initiated an expedited review of an artificial intelligence (AI) system of diagnosing diabetic retinopathy (DR) following a de novo request for testing. Iowa-based AI diagnostic company IDx announced filing new trial requests for its novel IDx-DR AI autonomous diagnostic system after it was designated as a “breakthrough device” by the FDA. Once cleared by the FDA, IDx-DR becomes the first AI-based autonomous diagnostic system for healthcare applications.

“The healthcare system desperately needs a more efficient and cost-effective way to detect diabetic retinopathy. Too many patients go blind needlessly because they aren’t diagnosed in time,” IDx founder and president, Dr Michael Abràmoff said. Abramoff, also a practicing retina specialist at the University of Iowa Hospitals and Clinics, stressed the importance of IDx-DR as a diagnostic tool which can significantly reduce wait times and lower costs by making results for DR testing available during routine clinic visits.

Fast and efficient detection and treatment options
Machine-learning technology may soon provide faster and more affordable ways to detect diseases as researchers have found that Google’s algorithms successfully predicted patients at risk of cardiovascular disease through eye scans. The study was made by scientists from Google and Alphabet’s subsidiary Verily Life Sciences as one of several ongoing conceptual health-technology research activities.

The pattern-recognizing algorithms known as neural networks were trained on scanned retinal images of around 280,000 people from the United States and the United Kingdom by predicting telltale signs of long-term health risks such as high blood pressure and stroke. The system “learned” by reviewing the data and detecting patterns in people’s eyes by pinpointing those who were at risk of heart problems.

Helps replicate human tissue
An artificial eye that mimics several core visual functions of the human eye has been developed by a team of scientists using cutting-edge nanotechnology and artificial intelligence (AI). A team from Harvard created an adaptive metalens which is electronically-controlled to simultaneously correct astigmatism, image shift and focus- three major functions linked to blurry images. Combining breakthroughs in artificial muscle technology with metalens technology to create a tunable metalens that can change its focus in real time, just like the human eye.

The team used AI technology for its design and scaled down the file size for the command module of the device. Considering the complexity of the simultaneous functions, it takes no less than several gigabytes-even terabytes- of machine-learning codes to work precisely similar to the human eye, which could have restricted versatility of controls.