Health Informatics

A study presented at ESCMID Global 2025 has demonstrated that an AI-powered lung ultrasound outperforms human experts by 9% in diagnosing pulmonary tuberculosis (TB).... Read more

Researchers from Queen Mary University of London have developed an AI tool that creates synthetic yet medically accurate models of fibrotic heart tissue (heart scarring), aiding treatment planning for atrial fibrillation (AF) patients. The study, published in Frontiers in Cardiovascular Medicine, could lead to more personalized care for patients affected... Read more

The first trial of an AI-powered chatbot designed to inform parents about the HPV vaccine has shown that it increases vaccine uptake and engagement with health professionals.... Read more

If you eat a snack—a meatball, say, or a marshmallow—how will it affect your blood sugar? It's a surprisingly tricky question; the body's glycemic response to different foods varies based on individual genetics, microbiomes, hormonal fluctuations, and more. Because of that, providing personalized nutritional advice—which can help patients manage diabetes,... Read more

The human body constantly generates a variety of signals that can be measured from outside the body with wearable devices. These bio-signals—ranging from heart rate to sleep state and blood oxygen levels—can indicate whether someone is having mood swings or can be used to diagnose a variety of body or... Read more

Artificial Intelligence is helping UC Davis Health predict which patients may need immediate care and eventually keep them from being hospitalized.... Read more

Much as a pilot might practice maneuvers in a flight simulator, scientists might soon be able to perform experiments on a realistic simulation of the mouse brain. In a new study, Stanford Medicine researchers and collaborators used an artificial intelligence model to build a "digital twin" of the part of... Read more

After nine years of painstaking work, an international team of researchers on Wednesday published a precise map of the vision centers of a mouse brain, revealing the exquisite structures and functional systems of mammalian perception.... Read more

Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Now, research published in ACS Central Science reveals a method that uses pulsed infrared light to identify molecular profiles in blood plasma that could indicate the presence of certain common cancers.... Read more

Drug-resistant infections—especially from deadly bacteria like tuberculosis and staph—are a growing global health crisis. These infections are harder to treat, often require more expensive or toxic medications and are responsible for longer hospital stays and higher mortality rates. In 2021 alone, 450,000 people developed multidrug-resistant tuberculosis, with treatment success rates... Read more

Researchers from Lawrence Livermore National Laboratory (LLNL), in collaboration with other leading institutions, have successfully used an AI-driven platform to preemptively optimize an antibody to neutralize a broad diversity of SARS-CoV-2 variants.... Read more

Attachment styles and level of trust in AI influence how willing people are to use it as a counseling tool, a new UC study has found.... Read more

As artificial intelligence (AI) rapidly integrates into health care, a study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may recommend different treatments for the same medical condition based solely on a patient's socioeconomic and demographic background.... Read more

The use of technology-based health solutions, such as fitness trackers, smartwatches and mobile health apps, has shown potential to help people improve management of their cardiovascular health.... Read more

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers.... Read more