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Health informatics news

Health informatics

Research identifies pitfalls and opportunities for generative AI in patient messaging systems

A new study by investigators from Mass General Brigham demonstrates that large language models (LLMs), a type of generative AI, may help reduce physician workload and improve patient education when used to draft replies to ...

Diseases, Conditions, Syndromes

New algorithm could provide early warning for asthma attacks

A University of Texas at Dallas researcher and his international colleagues have developed an algorithm that might one day provide early medical alerts about the onset of asthma attacks or other respiratory problems.

Medications

Study finds AI can develop treatments to prevent 'superbugs'

Cleveland Clinic researchers developed an artificial intelligence (AI) model that can determine the best combination and timeline to use when prescribing drugs to treat a bacterial infection, based solely on how quickly the ...

Diseases, Conditions, Syndromes

New study uses AI to predict malaria outbreaks in South Asia

Researchers from NDORMS in collaboration with international institutions have demonstrated the potential of using environmental measurements and deep learning modeling to predict malaria outbreaks in South Asia. The study ...

Ophthalmology

Using AI to detect dry eye disease

Dry eye disease (DED) is one of the more common eye diseases, affecting up to 30% of the world's population. This disease can affect many different types of people and can wind up being a great hindrance to their overall ...

Radiology & Imaging

Advancing high-resolution ultrasound imaging with deep learning

Researchers at the Beckman Institute for Advanced Science and Technology have developed a new technique to make ultrasound localization microscopy, an emerging diagnostic tool used for high-resolution microvascular imaging, ...

Health informatics

Despite AI advancements, human oversight remains essential: Study

State-of-the-art artificial intelligence systems known as large language models (LLMs) are poor medical coders, according to researchers at the Icahn School of Medicine at Mount Sinai. Their study, published in the April ...

Pediatrics

Study finds sharp rise in firearm deaths among rural Black youth

Firearm-related injuries have been the leading cause of death in children and adolescents in the U.S. since 2020, surpassing motor vehicle crashes. New research from the University of Minnesota shows the sharpest increase ...

Diseases, Conditions, Syndromes

Computer prompts could reduce empiric antibiotic use for UTI

For non-critically ill patients with urinary tract infection (UTI), computerized provider order entry (CPOE) prompts providing patient- and pathogen-specific multidrug-resistant organism (MDRO) risk estimates can reduce empiric ...

Oncology & Cancer

Using AI to trace the origins of metastatic cancer cells

A large team of cancer researchers affiliated with several institutions in China, working with a pair of colleagues in the U.S., has found that artificial intelligence applications can be used to trace the origins of metastatic ...

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 ...

Neuroscience

Decoding spontaneous thoughts from the brain via machine learning

A team of researchers led by Kim Hong Ji and Woo Choong-Wan at the Center for Neuroscience Imaging Research (CNIR) within the Institute for Basic Science (IBS), in collaboration with Emily FINN at Dartmouth College, has unlocked ...

Alzheimer's disease & dementia

A new diagnostic model offers hope for Alzheimer's

A new mathematical model offers hope for better prediction and treatment of Alzheimer's disease. Most mathematical models of Alzheimer's are theoretical, focusing on short term molecular and cellular-level changes that cannot ...