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Health informatics news

Parkinson's & Movement disorders

Network theory insights lead to a mathematical representation of Parkinson's disease

Neurodegenerative diseases, such as Parkinson's disease, can be thought of as arising from malfunctions in the network of neuronal agglomerates in the brain. It is therefore often useful to apply insights from a branch of ...

Cardiology

Cardiology collaboration advances machine learning predictions for AFib after stroke

Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions. A team of artificial intelligence engineers, in collaboration with a team of physicians ...

Diseases, Conditions, Syndromes

Global research team develops H5N1 detection kit to tackle avian flu

The Diagnostics Development Hub (DxD Hub), a national platform hosted by the Agency for Science, Technology and Research (A*STAR), Singapore, in collaboration with the National Institute for Environmental Studies (NIES), ...

Psychology & Psychiatry

AI model can diagnose depression via speech and brain neural activity

Depression is one of the most common mental illnesses. As many as 280 million people worldwide are affected by this disease, which is why researchers at Kaunas University of Technology (KTU) have developed an artificial intelligence ...

Oncology & Cancer

AI enhances early detection of pancreatic cysts

When it comes to early detection of silent but deadly diseases like pancreatic cancer, finding it early and predicting disease aggressiveness are critical for increasing long-term survival.

Diseases, Conditions, Syndromes

Students develop AI model for middle ear disease detection

Understanding the middle ear is essential—not only for hearing but also for balance and quality of life. According to the National Institutes of Health, in the U.S., one in eight adults has hearing loss, and nearly 28% ...

Radiology & Imaging

Radiologists could soon be using AI to detect brain tumors

A paper titled "Deep Learning and Transfer Learning for Brain Tumor Detection and Classification" published in Biology Methods and Protocols shows that scientists can train artificial intelligence (AI) models to distinguish ...

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.