Development

Experimental AI Tool Predicts which COVID-19 Patients Develop Respiratory Disease

An artificial intelligence tool accurately predicted which patients newly infected with the COVID-19 virus would go on to develop severe respiratory disease, a new study found. The work was led by NYU Grossman School of Medicine and the Courant Institute of Mathematical Sciences at New York University, in partnership with Wenzhou Central Hospital and Cangnan People's Hospital, both in Wenzhou, China.

Coronavirus Massive Simulations Completed on Frontera Supercomputer

Scientists are preparing a massive computer model of the coronavirus that they expect will give insight into how it infects in the body. They've taken the first steps, testing the first parts of the model and optimizing code on the Frontera supercomputer at the University of Texas at Austin's Texas Advanced Computing Center (TACC). The knowledge gained from the full model can help researchers design new drugs and vaccines to combat the coronavirus.

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.

COVID-19 should be Wake-Up Call for Robotics Research

Robots could perform some of the "dull, dirty and dangerous" jobs associated with combating the COVID-19 pandemic, but that would require many new capabilities not currently being funded or developed, an editorial in the journal Science Robotics argues.

The editorial, published today and signed by leading academic researchers including Carnegie Mellon University's Howie Choset, said robots conceivably could perform

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.

Oxford University Provide Evidence for Coronavirus Mobile App for Instant Contact Tracing

A team of medical research and bioethics experts at Oxford University are supporting several European governments to explore the feasibility of a coronavirus mobile app for instant contact tracing. If rapidly and widely deployed, the infectious disease experts believe such an app could significantly help to contain the spread of coronavirus.

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.

Research and Development News

Experimental AI Tool Predicts which COVID-19 Patients Develop Respiratory Disease

Coronavirus Massive Simulations Completed on Frontera Supercomputer

Concerns over 'Exaggerated' Study Claims of AI Outperforming Doctors

COVID-19 should be Wake-Up Call for Robotics Research

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

Oxford University Provide Evidence for Coronavirus Mobile App for Instant Contact Tracing

Fighting Hand Tremors: First comes AI, then Robots

More eHealth News ...

Latest Business News

Latest Research News

Latest Conferences News

Latest Jobs