Research

Concerns over 'Exaggerated' Study Claims of AI Outperforming Doctors

Many studies claiming that artificial intelligence is as good as (or better than) human experts at interpreting medical images are of poor quality and are arguably exaggerated, posing a risk for the safety of 'millions of patients' warn researchers in The BMJ.

Their findings raise concerns about the quality of evidence underpinning many of these studies, and highlight the need to improve their design and reporting standards.

Portable AI Device Turns Coughing Sounds into Health Data for Flu and Pandemic Forecasting

University of Massachusetts Amherst researchers have invented a portable surveillance device powered by machine learning - called FluSense - which can detect coughing and crowd size in real time, then analyze the data to directly monitor flu-like illnesses and influenza trends.

Fighting Hand Tremors: First comes AI, then Robots

Robots hold promise for a large number of people with neurological movement disorders severely affecting the quality of their lives. Now researchers have tapped artificial intelligence techniques to build an algorithmic model that will make the robots more accurate, faster, and safer when battling hand tremors.

Digital Heart Model will Help Predict Future Heart Health

In recent times, researchers have increasing found that the power of computers and artificial intelligence is enabling more accurate diagnosis of a patient's current heart health and can provide an accurate projection of future heart health, potential treatments and disease prevention.

AI may Help Spot Newborns at Risk for Most Severe form of Blinding Disease

An artificial intelligence (AI) device that has been fast-tracked for approval by the Food and Drug Administration may help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP). AP-ROP is the most severe form of ROP and can be difficult to diagnose in time to save vision. The findings of the National Eye Institute-funded study published online February 7 in Ophthalmology.

AI Has Helped to Better Understand How Human Brain Performs Face Recognition

Scientists from Salk Institute (USA), Skoltech (Russia), and Riken Center for Brain Science (Japan) investigated a theoretical model of how populations of neurons in the visual cortex of the brain may recognize and process faces and their different expressions and how they are organized. The research was recently published in Neural Computation and highlighted on its cover.

New Tool Aids Patients in Selecting a Transplant Center

A new website developed by researchers at Hennepin Healthcare Research Institute (HHRI) and the University of Minnesota (UMN) is making it easier for organ transplant candidates to choose which transplant center is right for them. The website, transplantcentersearch.org, was developed for candidates seeking kidney, liver, heart and lung transplants. Data for liver centers is currently live. Data for other organs will soon be available.