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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.

Diabetes

Clinical recommendations for newer diabetes treatments

A new guideline from the American College of Physicians (ACP) offers clinical recommendations for the use of newer pharmacological treatments of adults with type 2 diabetes. This is an update of ACP's 2017 guideline and is ...

Health informatics

New guidelines reflect growing use of AI in health care research

The widespread use of artificial intelligence (AI) in medical decision-making tools has led to an update of the TRIPOD guidelines for reporting clinical prediction models. The new TRIPOD+AI guidelines are launched in the ...

Health

Study reveals AI enhances physician-patient communication

As one of the first health systems in the country to pilot the use of generative artificial intelligence (GenAI) to draft replies to patient messages inside the Epic Systems electronic health record, UC San Diego Health is ...

Oncology & Cancer

Study shows AI improves accuracy of skin cancer diagnoses

A new study led by researchers at Stanford Medicine finds that computer algorithms powered by artificial intelligence based on deep learning can help health care practitioners to diagnose skin cancers more accurately. Even ...

Radiology & Imaging

New AI method captures uncertainty in medical images

In biomedicine, segmentation involves annotating pixels from an important structure in a medical image, like an organ or cell. Artificial intelligence models can help clinicians by highlighting pixels that may show signs ...