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AI therapy may help with mental health, but innovation should never outpace ethicsMental health services around the world are stretched thinner than ever. Long wait times, barriers to accessing care and rising rates of depression and anxiety have made it harder for people to get timely help.... Read more
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Researchers raise red flag about AI-generated fake images in biomedical researchThe authors of an editorial published in the American Journal of Hematology, claim that "generative Artificial Intelligence can be exploited to produce fraudulent scientific images, either from scratch or by modifying existing visual materials to increase the realism of the final fabricated product."... Read more
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Discovery uses gut bacteria and AI to diagnose a chronic pain syndromeMcGill University researchers, in collaboration with colleagues in Israel and Ireland, have developed AI technology that can detect patterns in gut bacteria to identify complex regional pain syndrome (CRPS) with remarkable accuracy, potentially transforming how CRPS is diagnosed and treated.... Read more
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How analytics is driving decisions and outcomes in health careWhat if data could help predict a patient's prognosis, streamline hospital operations, or optimize human resources in medicine? A book fresh off the shelves, "The Analytics Edge in Healthcare," shows that this is already happening, and demonstrates how to scale it.... Read more
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New review of performance measures for diabetes finds many measures inadequateA review by the American College of Physicians (ACP) of performance measures for diabetes found that of the 14 performance measures relevant to internal medicine, only four meet ACP's rigorous standards for appropriate use, high-quality evidence, and scientific acceptability. "Quality Indicators for Diabetes in Adults: A Review of Performance Measures... Read more
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Health assessment tool gauges body's biological age better than current methodsA novel health-assessment tool uses eight metrics derived from a person's physical exam and routine lab tests to characterize biological age. It may be able to predict a person's risk of disability and death better than current health predictors.... Read more
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Addressing health care provider burnout through digital twin systemsTaylan Topcu is leading a team of Virginia Tech researchers using digital twins to help take better care of health care providers.... Read more
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Findings support use of personalized medicine approach to treat soft tissue sarcomasA recent study has demonstrated that a precision medicine approach improves treatment selection for patients with soft tissue sarcomas (STS) in a clinical setting. Published in npj Precision Oncology in March 2025, the research findings support using data-driven and phenotypic screening approaches to treat STS. The study was conducted by... Read more
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Assessing systemic sclerosis with AI deep neural networksArtificial intelligence (AI) is shaping the future of health care, offering new tools for earlier diagnosis of disease and more precise tracking of treatment outcomes. In a new Yale-led study, published in Arthritis Research & Therapy, researchers used a type of AI technology called deep neural network (DNN) analysis to... Read more
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US researchers seek to legitimize AI mental health careResearchers at Dartmouth College believe artificial intelligence can deliver reliable psychotherapy, distinguishing their work from the unproven and sometimes dubious mental health apps flooding today's market.... Read more
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Ambient AI technology can reduce documentation burden for health care providersResearchers at Sutter Health, led by Cheryl Stults, Ph.D., found that an innovative ambient artificial intelligence platform showed promising results in easing the burden of clinical documentation for health care providers. The study, published today in JAMA Network Open, revealed significant reductions in documentation time and improved overall clinician satisfaction.... Read more
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Estimated 7.2 million Americans 65 years and older have Alzheimer's dementiaAn estimated 7.2 million Americans aged 65 years and older are living with Alzheimer's dementia, and almost all adults feel it is important to diagnose the disease in the early stages, according to a report published by the Alzheimer's Association.... Read more
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Researchers develop explainable AI toolkit to predict disease before symptoms appearResearchers at the University of Utah's Department of Psychiatry and Huntsman Mental Health Institute have published a paper in Patterns introducing RiskPath, an open-source software toolkit that uses explainable artificial intelligence (XAI) to predict whether individuals will develop progressive and chronic diseases years before symptoms appear, potentially transforming how preventive... Read more
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AI successfully identifies risk factors linked to more severe pain after knee replacementA study using artificial intelligence to classify patient pain archetypes and identify risk for severe pain after knee replacement has earned a Best of Meeting award at the 50th Annual Meeting of the American Society of Regional Anesthesia and Pain Medicine (ASRA). The honor, which recognizes excellence in scientific research,... Read more
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Making AI models more trustworthy for high-stakes contexts, like classifying diseases in medical imagesThe ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance, in a chest X-ray, pleural effusion, an abnormal buildup of fluid in the lungs, can look very much like pulmonary infiltrates, which are accumulations of pus or blood.... Read more