Three-dimensional magnetic resonance vessel wall imaging (3D MR-VWI) is critical for characterizing cerebrovascular pathologies, yet its clinical adoption is hindered by labor-intensive postprocessing. We developed VWI Assistant, a multi-sequence integrated deep learning platform trained…
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SWL Digital Pioneer Fellows: Sara Fischer and Lucy WilliamsRoles: Transformation ManagersOrganisation: Universal Care Plan Programme, hosted by South West London Integrated Care Board (ICB)Designing and implementing the Universal Care Plan for LondonSummary: The first…
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North East and North Cumbria Integrated Care Board (ICB) has rolled out the Healthinote digital health platform to provide information and education for patients living with chronic kidney disease (CKD).
The platform, developed by the…
Poor interoperability between digital systems and challenges with GP registration processes in prisons are causing risks to patient safety, according to an investigation by the Health Services Safety Investigations Body (HSSIB).
The report, ‘Healthcare provision…
Flo Health is facing a data privacy lawsuit for allegations that it unlawfully shared users’ personal period-tracking data with Meta for targeted advertising.
The firm, which became Europe’s first FemTech unicorn in July 2024 after…
What You Should Know:
– After a strong start to the year, the digital health sector experienced a significant pullback in Q2 2025, with deal volume declining to its lowest quarterly activity level in the…
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Brett Talbot, Co-founder and CCO, Videra Health
In a world where strength is often measured by stoicism, millions of men are suffering in silence. The statistics around male suicide paint a sobering picture: men die…
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Top News
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HHS Secretary Robert F. Kennedy Jr. and CMS Administrator Mehmet Oz will reportedly meet with tech executives Wednesday to seek vendor support for patient data sharing.
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Cognitive impairment is a frequent complication of Parkinson’s disease (PD), affecting up to half of newly diagnosed patients. To improve early detection and risk assessment, we developed machine learning models using clinical data from…
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Identifying disease risk and detecting disease before clinical symptoms appear are essential for early intervention and improving patient outcomes. In this context, the integration of medical imaging in a clinical workflow offers a unique…
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