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Health informatics news

Parkinson's & Movement disorders

What the trained eye cannot see: Detecting movement defects in early stage Parkinson's disease

A technique that uses videos and machine learning to quantify motor symptoms in early-stage Parkinson's disease could help reveal signs of the disease and other movement disorders earlier, which could lead to better treatment ...

Obstetrics & gynaecology

AI sperm checker enhances IVF success

Engineers have developed AI technology that accurately assesses the quality of live sperm in seconds, removing the need for invasive procedures that compromise sperm viability in IVF treatments.

Sports medicine & Kinesiology

Swipe up! Health apps deliver real results en masse

In a new study in npj Digital Medicine, researchers synthesized data from 206,873 people across 47 studies, finding that digital health tools—like mobile apps, websites, and text messages—can significantly improve health ...

Diseases, Conditions, Syndromes

Smartphone app can effectively lower cholera risk

The seventh cholera pandemic, which began in 1961, has annually afflicted millions and claimed tens of thousands of lives. Recognized by the World Health Organization as the longest-lasting pandemic in history, cholera spreads ...

Health informatics

Novel AI model may enhance health data interoperability

An AI model developed by Northwestern Medicine investigators improved the transformation of EHR data into standardized health resources more efficiently than current methods, according to a recent study published in the journal ...

Health

Mathematical model aims to curb teen drunken driving fatalities

Drunken driving claims 37 lives daily in the U.S. with teen and young adult drivers disproportionately involved. Niyousha Hosseinichimeh in the College of Engineering has partnered with researchers across the U.S. to create ...

Health informatics

AI-assisted model improves diagnosis of solid lesions in pancreas

A joint artificial intelligence (AI)-assisted model integrating clinical information and endoscopic ultrasonographic (EUS) images improves diagnosis of solid lesions in the pancreas, according to a study published online ...

Health informatics

Making clinical guidelines work for large language models

Clinical guidelines are essential to the practice of evidence-based medicine, but they are long and complex, which makes it hard for busy doctors to quickly and easily find the information they need to care for each patient.

Inflammatory disorders

Air pollution exposure tied to new psoriasis

Long-term exposure to air pollution is associated with the development of new psoriasis, according to a study published online July 16 in JAMA Network Open.

Cardiology

Large geographic variation seen with heart failure phenotypes

There is substantial geographic variation in patient characteristics, treatment, and outcomes among patients with heart failure with preserved ejection fraction (HFpEF) or mildly reduced ejection fraction (HFmrEF), according ...

Oncology & Cancer

Deep learning approach enhances HER2 scoring in breast cancer

The human epidermal growth factor receptor 2 (HER2) is a critical protein in the growth of cancer cells, and its expression level is a vital indicator of breast cancer aggressiveness. Traditionally, HER2 status is assessed ...

Parkinson's & Movement disorders

Machine learning helps define new subtypes of Parkinson's disease

Researchers at Weill Cornell Medicine have used machine learning to define three subtypes of Parkinson's disease based on the pace at which the disease progresses. In addition to having the potential to become an important ...

Psychology & Psychiatry

Should AI be used in psychological research?

Mohammad Atari and colleagues explore the promise and peril of using large language models (LLMs) in psychological research, beginning by urging researchers to also ask themselves whether and why they should use LLMs—not ...