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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 ...

Radiology & Imaging

Beyond conventional pathology. Label-free histology meets AI

A collaborative research team led by POSTECH Professor Chulhong Kim and Professor Chan Kwon Jung of Seoul St. Mary's Hospital, Catholic University of Korea, has developed an artificial intelligence (AI) system to analyze ...

Genetics

Hundreds of new cancer driver genes predicted by algorithm

Researchers at the Centre for Genomic Regulation (CRG) have discovered hundreds of potential new cancer driver genes. The findings, published in the journal Nature Communications, significantly expands the list of possible ...

Radiology & Imaging

Vision-based ChatGPT shows deficits interpreting radiologic images

Researchers evaluating the performance of ChatGPT-4 Vision found that the model performed well on text-based radiology exam questions but struggled to answer image-related questions accurately. The study's results were published ...

Radiology & Imaging

A data-efficient foundation model for biomarker detection

The use of artificial intelligence (AI) systems shows promise in medicine, where they can be used to detect diseases earlier, improve treatments, and ease staff workloads. But their performance depends on how well the AI ...

Sports medicine & Kinesiology

Researchers find regional variations in concussion diagnoses

Researchers in Michigan State University's Department of Kinesiology found significant geographic variations in concussion diagnoses in United States emergency departments—with the highest rates in the South and lower rates ...

Arthritis & Rheumatism

Machine learning helps identify rheumatoid arthritis subtypes

A machine-learning tool created by Weill Cornell Medicine and Hospital for Special Surgery (HSS) investigators can help distinguish subtypes of rheumatoid arthritis (RA), which may help scientists find ways to improve care ...

Oncology & Cancer

Software tool analyzes cancer cells in biopsy slides

An innovative software tool could advance cancer pathology by providing diagnostic insights from tissue biopsies. The tool, called METI (Morphology-Enhanced Spatial Transcriptome Analysis Integrator), was developed by researchers ...

Radiology & Imaging

Bridging the chasm between AI technology and clinicians

While the use of artificial intelligence for medical diagnosis is growing, new research by the University of Adelaide has found there are still major hurdles to cover when it is compared to a clinician.