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Health informatics news

Parkinson's & Movement disorders

Automatic speech recognition learns to understand people with Parkinson's disease—by listening to them

As Mark Hasegawa-Johnson combed through data from his latest project, he was pleasantly surprised to uncover a recipe for Eggs Florentine. Sifting through hundreds of hours of recorded speech will unearth a treasure or two, ...

Genetics

Polygenic score database updates increase diversity and usability of genetic data

Important new updates to the largest open database for polygenic scores, the Polygenic Score (PGS) Catalog, could help to generate more equitable disease risk predictions for a diverse range of ethnic backgrounds.

Health informatics

AI may enhance patient safety, say researchers

Generative artificial intelligence (genAI) uses hundreds of millions, sometimes billions, of data points to train itself to produce realistic and innovative outputs that can mimic human-created content. Its applications include ...

Oncology & Cancer

Saving time with AI-generated treatment plans for breast cancer

Drawing in the organs of individual breast cancer patients and then creating precise radiation plans appears to be faster by using artificial intelligence (AI) models. That way, it remains just as reliable and accurate. It ...

Oncology & Cancer

AI could predict breast cancer risk via 'zombie cells'

Women worldwide could see better treatment with new AI technology, which enables better detection of damaged cells and more precisely predicts the risk of getting breast cancer, shows new research from the University of Copenhagen.

Health informatics

Q&A: Should we label AI systems like we do prescription drugs?

AI systems are increasingly being deployed in safety-critical health care situations. Yet these models sometimes hallucinate incorrect information, make biased predictions, or fail for unexpected reasons, which could have ...

Psychology & Psychiatry

Social media posts may provide early warning of PTSD problems

Scientists have analyzed millions of tweets to identify COVID-19 survivors living with post-traumatic stress disorder (PTSD)—demonstrating the effectiveness of using social media data as a tool for early screening and intervention.

Parkinson's & Movement disorders

Wearable sensors, machine learning system could pinpoint Parkinson's

Parkinson's comes on slowly, and diagnosing the often-devastating movement disorder, particularly in its early stages, usually entails having patients perform a variety of mobility tasks, observing their walking and movement ...

Health informatics

New software guards the public from airborne radiation

A software application developed by Los Alamos National Laboratory makes accurate, actionable information available after an unexpected airborne radiological release to help first responders, policymakers and health professionals ...

Medical economics

Q&A: Donor funding falls short for Africa's digital health

As African countries struggle with overburdened health care systems, limited resources, and an increasing prevalence of chronic diseases such as cancer, digital health innovations are essential.

Cardiology

Race, racism and risk prediction for cardiovascular disease

When clinicians are discussing long-term health with a patient, we often find ourselves struggling with how a patient's race may inform their risk for cardiovascular disease, which claims more than 2,500 lives per day in ...

Health

Study assesses patient satisfaction with telemedicine

Patients generally exhibit high levels of satisfaction with telemedicine consultations, according to a new study. The time interval between the consultation and the assessment was one factor found to influence patient satisfaction.

Diseases, Conditions, Syndromes

Mathematicians use AI to identify emerging COVID-19 variants

Scientists at The Universities of Manchester and Oxford have developed an AI framework that can identify and track new and concerning COVID-19 variants and could help with other infections in the future.