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Health informatics news

Psychology & Psychiatry

AI-powered apps show potential for detecting depression through eye snapshots

It has been estimated that nearly 300 million people, or about 4% of the global population, are afflicted by some form of depression. But detecting it can be difficult, particularly when those affected don't (or won't) report ...

Psychology & Psychiatry

With great power comes great responsibility: Study unpacks views on using AI for mental health care

A new Columbia University School of Nursing-led study explores how patients view the use of artificial intelligence (AI) to improve mental health care. The survey, which included 500 US-based adults, found that 49.3% of participants ...

Radiology & Imaging

Better MRI videos thanks to new machine learning method

Using smartly trained neural networks, researchers at TU Graz have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data. Other MRI applications can also be accelerated ...

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 ...

Genetics

Developing deep learning models to understand the human genome

Northwestern Medicine scientists have developed a deep learning algorithm capable of identifying the location where a genetic process called polyadenylation occurs on the genome, according to findings published in Nature ...

Psychology & Psychiatry

Study assesses well-being of US veterans

More than a decade ago, the U.S. Department of Veterans Affairs launched a national initiative, termed Whole Health, that takes a holistic approach to health care, emphasizing personalized care plans that address the physical, ...

Health informatics

Guiding principles to address bias in health care algorithms

A paper published in JAMA Network Open addresses bias in health care algorithms and provides the health care community with guiding principles to avoid repeating errors that have tainted the use of algorithms in other sectors.

Diseases, Conditions, Syndromes

'Long flu' has emerged as a consequence similar to long COVID

Since the COVID-19 pandemic began, extensive research has emerged detailing the virus's ability to attack multiple organ systems, potentially resulting in a set of enduring and often disabling health problems known as long ...

Medical economics

Researchers turn mathematical models into health care solutions

Two Leiden researchers have demonstrated how mathematics can improve our health care. Daniel Gomon has developed a model that contributes to the quality of care in hospitals. Marta Spreafico works on an app that helps physicians ...

Obstetrics & gynaecology

Rethinking how reproductive health care quality is measured

A study by CUNY SPH researchers suggests the quality of reproductive health care should be measured from the patient's perspective, rather than using current measures such as rates of "unintended" pregnancies.