MeSH tree: L01.224.050.375.605
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension (PH), according to a study ...
Jan 26, 2026
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A multi-institutional study led by the University of California, Davis, finds that living in urban areas with a higher percentage of visible trees is associated with a 4% decrease in cardiovascular disease. By comparison, ...
Jan 21, 2026
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A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording where participants described ...
Jan 21, 2026
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Artificial intelligence (AI) has become a go-to tool in health care, helping clinicians such as radiologists make diagnoses and personalize care. But what do patients think about this?
Jan 20, 2026
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Retinal vein occlusion (RVO) is a severe disease that occurs when a vein in the light-sensitive layer at the back of the eye (i.e., the retina) becomes blocked, which results in a loss of vision. There are currently a few ...
A team of Mass General Brigham researchers has developed one of the first fully autonomous artificial intelligence (AI) systems capable of screening for cognitive impairment using routine clinical documentation.
Jan 15, 2026
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When you think of tools for studying substance use and addiction, a social media site like Reddit, TikTok or YouTube probably isn't the first thing that comes to mind. Yet the stories shared on social media platforms are ...
Jan 14, 2026
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A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the University of Michigan, could help doctors discover which treatment strategies are most likely to be effective ...
Jan 12, 2026
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Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management hinges on early diagnosis, which is often impeded by non-specific symptoms and resource-intensive diagnostic ...
Jan 6, 2026
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Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in large radiographic collections. By automatically verifying body-part, projection, and rotation tags, ...
Dec 24, 2025
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