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    A Brazilian man whose penis was amputated after medical care involving a woman is set to receive compensation from the hospital responsible, according to Metrópoles. Separately, prosecutors are seeking the conviction of influencer Eduarda Campopiano for transphobia against congresswoman Erika Hilton, a case that could also carry financial penalties.

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    The Worst Medical Mistakes Explained▼The Iceberg of the WORST Medical Mistakes!▶youtubeHealthMedicine440.4K53 min ago

    People are engaging with a rundown of the most severe medical errors on record, presented in an iceberg-style ranking from well-known to obscure cases. The item catalogues surgical, diagnostic and treatment mistakes and their consequences for patients. It is drawing large audiences interested in medical history, patient safety and shocking healthcare failures.

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    Physics-informed AI cuts errors in aneurysm flow imaging▼Physics-informed AI reduces errors in aneurysm flow reconstructions✉newsSciencePhysics2 d ago

    Researchers report that an AI approach incorporating physics constraints reduces errors when reconstructing blood flow in aneurysms. By embedding physical laws into the model, the method produces more reliable flow reconstructions than standard data-driven techniques, which could improve assessment of aneurysm rupture risk and support clinical decision-making in vascular medicine.

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    Researchers are reporting the identification of a biological marker that could help guide treatment for depression, potentially allowing doctors to match patients to the right therapy from the start instead of relying on trial and error with antidepressants. Mental health specialists have long sought objective tools to predict which medications will work for individual patients, and the announcement is drawing attention as a possible step toward more personalised depression care.

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    Teaching AI about symmetry could improve prenatal diagnosis▼Why teaching AI about symmetry could make prenatal diagnosis more reliable✉newsTechnologyAI4 d ago

    MIT researchers report that incorporating symmetry principles into AI models could make prenatal diagnosis more reliable. By designing algorithms that recognise symmetric patterns in medical images, the approach aims to reduce errors and inconsistencies in ultrasound-based screening. The work suggests that building physical and anatomical knowledge into machine learning systems may improve their trustworthiness in clinical settings.

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    Christina Applegate says her multiple sclerosis was misdiagnosed▼Christina Applegate reveals she was misdiagnosed with multiple sclerosis✉newsCultureCelebrity3 d ago

    American actress Christina Applegate has revealed that she was initially misdiagnosed with multiple sclerosis, the disease she disclosed she was living with in 2021. The announcement is drawing widespread attention and sympathy from fans, with many discussing the difficulties of diagnosing MS and the importance of seeking further medical opinions when symptoms persist.

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    Experts Say AI Lung Cancer Screening Still Needs Human Oversight●Why AI Needs a Human in the Loop for Lung Cancer Screening Decisions✉newsTechnologyAI2 d ago

    CancerNetwork has published a piece arguing that artificial intelligence used in lung cancer screening should not operate without human oversight. The article stresses that radiologists and clinicians must remain in the loop when reviewing AI-assisted readings of screening scans, to catch errors, weigh patient context, and make final diagnostic decisions.

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    8 Celebrities Who Were Medically Misdiagnosed●8 Celebrities Who Were Medically Misdiagnosed, and What They Said About It✉newsCultureCelebrity3 d ago

    A new roundup from People profiles eight celebrities who say doctors got their diagnoses wrong, and gathers what each star has said publicly about the experience. The feature highlights how symptoms were initially dismissed or attributed to other conditions before the correct illness was found. Stories like these tend to resonate because they underline how even famous, well-resourced patients can face delayed or incorrect medical care, prompting wider conversation about advocating for oneself in the health system.

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    Clinical Decision-Support Technology Expands Access to Medicines●How Clinical Decision-Support Technology Is Changing Access to Medicines✉newsTechnology4 d ago

    Clinical decision-support technology is increasingly shaping how medicines reach patients, helping healthcare providers make prescribing and treatment decisions more quickly and accurately. Observers say such tools can improve access to essential medicines by reducing errors and streamlining clinical workflows, though questions remain about implementation costs, data quality, and equitable adoption across different health systems.

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    Pharmacist warns of biggest atorvastatin mistake●Pharmacist on the 'biggest mistake' people make when taking atorvastatin https:// fed.brid.gy/r/https://www.mirr or.co.uMmastodonHealth06 d ago

    A pharmacist has highlighted what they call the biggest mistake people make when taking atorvastatin, the widely prescribed cholesterol-lowering statin. The warning, reported by a UK news outlet, serves as a reminder for patients to review how and when they take the medication. Atorvastatin is one of the most commonly dispensed drugs, so guidance on avoiding errors in its use tends to attract wide attention.

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    Guidance Outlines Three Steps for IV Workflow System Implementation▼IV Workflow Management Systems - 3 Implementation Steps✉newsTechnology6 d ago

    Health-system pharmacy professionals are being pointed to new guidance on implementing IV workflow management systems, laid out in three steps. The piece focuses on how specialty and hospital pharmacies can adopt the technology to standardize sterile compounding, reduce medication errors, and improve documentation, offering a practical roadmap for pharmacies considering or beginning deployment of such systems.