Traditional diagnostic decision support systems outperform generative AI for diagnosing disease

Medical professionals have been using artificial intelligence (AI) to streamline diagnoses for decades, using what are called diagnostic decision support systems (DDSSs). Computer scientists at Massachusetts General Hospital (MGH) first developed MGH’s own DDSS called DXplain in 1984, which relies on thousands of disease profiles, clinical findings, and data points to generate and rank potential diagnoses for use by clinicians.
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Improving cohort population representativeness to advance translational research in public health

A research team from the Germans Trias i Pujol Research Institute (IGTP), has published a study in the journal Scientific Reports proposing a method to correct selection biases in population-based cohorts. The study represents a significant step forward in improving the reliability of data derived from such studies for public health research and precision medicine.
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A new treatment that can potentially change the outlook for patients with Alagille syndrome

A team of researchers at Baylor College of Medicine, UMass Chan Medical School and Cincinnati Children’s Hospital Medical Center has developed a new treatment that could change the outlook for patients with Alagille syndrome. The condition affects multiple organs, including the liver, where it often leads to liver failure.
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Mindfulness and brain stimulation could reduce bladder leaks, suggests new study

Arriving home after a long day may be a relief, but for some people, seeing their front door or inserting a key into the lock triggers a powerful urge to pee. Known as “latchkey incontinence,” this phenomenon is the subject of a new study by researchers at the University of Pittsburgh who found that mindfulness training and/or noninvasive brain stimulation could reduce bladder leaks and feelings of urgency evoked by these cues.
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