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Health informatics news

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.

Health

AI can help improve ER admission decisions, study finds

Generative artificial intelligence (AI), such as GPT-4, can help predict whether an emergency room patient needs to be admitted to the hospital even with only minimal training on a limited number of records, according to ...

Diseases, Conditions, Syndromes

New study uses health factors to predict kidney function recovery

Researchers at the University of Cincinnati College of Medicine have created a scoring model that uses key health indicators to accurately predict recovery for patients who experience kidney failure due to acute kidney injury ...

Diseases, Conditions, Syndromes

Long COVID definitions, care models are evolving

Definitions of long COVID and care models are evolving, but considerable variability is seen in these models, according to a review published online May 21 in the Annals of Internal Medicine.

Diseases, Conditions, Syndromes

Women face worse chronic kidney disease management in primary care

Women receive worse primary care-based chronic kidney disease (CKD) management than men, according to a research letter published in the Journal of the American Medical Association to coincide with the annual meeting of the ...

Surgery

Artificial intelligence and the future of surgery

You may not think artificial intelligence could have a role in surgery, but new research shows AI can help solve problems for patients, doctors and the health system. A group of researchers led by surgery researcher Dr. Chris ...

Diabetes

AI-informed health app aids diabetes outcomes

Use of an artificial intelligence (AI)-informed health app aids diabetes outcomes and cuts atherosclerotic cardiovascular disease (ASCVD) risk, according to a study presented at the annual meeting of the American Association ...

Inflammatory disorders

Evaluating a mobile app as a training tool to detect skin diseases

The Journal of Medical Internet Research has published the results from the first phase of the validation study on the SkinNTDs mobile app, which aims to help control neglected tropical diseases and some common skin diseases, ...

Surgery

AI-based surgical prediction models have limits

Prediction models generated by machine learning are being increasingly used in medicine to identify risk factors and possible outcomes, especially for total joint replacements of knees and hips—although researchers warn ...

Genetics

Machine learning sheds light on gene transcription

A team led by researchers at UT Southwestern Medical Center has developed deep learning models to identify a simple set of rules that govern the activity of promoters—regions of DNA that initiate the process by which genes ...