Development

CHOP Study Explores the Use of Telemedicine in Child Neurology

Researchers from the Epilepsy Neurogenetics Initiative (ENGIN) at Children's Hospital of Philadelphia (CHOP) found that across nearly 50,000 visits, patients continued to use telemedicine effectively even with the reopening of outpatient clinics a year after the onset of the COVID-19 pandemic. However, prominent barriers for socially vulnerable families and racial and ethnic minorities persist, suggesting more work is required to reach a wider population with telemedicine.

New Tool Overcomes Major Hurdle in Clinical AI Design

Harvard Medical School scientists and colleagues at Stanford University have developed an artificial intelligence (AI) diagnostic tool that can detect diseases on chest X-rays directly from natural-language descriptions contained in accompanying clinical reports.

The step is deemed a major advance in clinical AI design because most current AI models require laborious human annotation of vast reams of data before the labeled data are fed into the model to train it.

AI Tool could Reduce Common Drug Side Effects

Research led by the University of Exeter and Kent and Medway NHS and Social Care Partnership Trust, published in Age and Ageing, assessed a new tool designed to calculate which medicines are more likely to experience adverse anticholinergic effects on the body and brain. These complications can occur from many -prescription and over-the-counter drugs which affects the brain by blocking a key neurotransmitter called acetylcholine.

Consortium to Develop Fully Implantable Brain-Computer Interface to Enable Communication for People with Paralysis

A research consortium led by the UMC Utrecht Brain Center (the Netherlands) in collaboration with Graz University of Technology (Austria), the Wyss Center for Bio and Neuroengineering (Switzerland) and CorTec (Germany) is to receive a grant through the European Innovation Council (EIC) Pathfinder Challenge mechanism.

The researchers aim to develop a unique fully implantable Brain-Computer Interface (BCI) system for people with locked-in syndrome (LIS) - a condition in which paralysis severely limits communication.

AI Model Outperforms Clinicians in Diagnosing Pediatric Ear Infections

An artificial-intelligence (AI) model built at Mass Eye and Ear was shown to be significantly more accurate than doctors at diagnosing pediatric ear infections in the first head-to-head evaluation of its kind, a research team working to develop the model for clinical use reported.

AI Improves Treatment in Women with Heart Attacks

Heart attacks are one of the leading causes of death worldwide, and women who suffer a heart attack have a higher mortality rate than men. This has been a matter of concern to cardiologists for decades and has led to controversy in the medical field about the causes and effects of possible gaps in treatment.

AI Model can Detect Parkinson's from Breathing Patterns

Parkinson's disease is notoriously difficult to diagnose as it relies primarily on the appearance of motor symptoms such as tremors, stiffness, and slowness, but these symptoms often appear several years after the disease onset. Now, Dina Katabi, the Thuan (1990) and Nicole Pham Professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT and principal investigator at MIT Jameel Clinic

Research and Development News

CHOP Study Explores the Use of Telemedicine in Child Neurology

New Tool Overcomes Major Hurdle in Clinical AI Design

AI Tool could Reduce Common Drug Side Effects

Consortium to Develop Fully Implantable Brain-Computer Interface to Enable Communication for People with Paralysis

AI Model Outperforms Clinicians in Diagnosing Pediatric Ear Infections

AI Improves Treatment in Women with Heart Attacks

AI Model can Detect Parkinson's from Breathing Patterns

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