What You Should Know:
– Lunit, a provider of AI for cancer diagnostics and therapeutics announced a strategic collaboration with Microsoft to accelerate the delivery of AI-powered healthcare solutions globally.
– The partnership, coupled with Lunit’s…
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Fundus fluorescein angiography (FFA) is the gold standard for diagnosing chorioretinal diseases, but its interpretation requires significant expertise and time. Despite generative AI’s enormous potential in medical report generation, automatic FFA interpretation lacks robust…
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Microsoft has made a revolutionary leap in artificial intelligence healthcare technology, with CEO Mustafa Suleyman declaring that the tech giant has taken “a genuine step toward medical superintelligence.” This groundbreaking development represents a significant…
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What You Should Know:
– PathAI, a global leader in artificial intelligence (AI) and digital pathology solutions, today announced it has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for its digital…
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There are over 7000 rare diseases, some affecting 3500 or fewer patients in the United States. Due to clinicians’ limited experience with such diseases and the heterogeneity of clinical presentations, ~70% of individuals seeking…
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It is still challenging to diagnose biliary atresia (BA) in current clinical practice. The study aimed to develop a multimodal model incorporated with uncertainty estimation by integrating sonographic images and clinical information to help…
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Infantile epileptic spasm syndrome (IESS) is a severe neurological disorder characterized by epileptic spasms (ES). Timely diagnosis is crucial, but it is often delayed due to symptom misidentification. Smartphone videos can aid in diagnosis,…
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As digital biomarkers gain traction in Alzheimer’s disease (AD) diagnosis, understanding recent advancements is crucial. This review conducts a bibliometric analysis of 431 studies from five online databases: Web of Science, PubMed, Embase, IEEE…
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Combined immunodeficiencies (CID) and common variable immunodeficiencies (CVID), prevalent yet substantially underdiagnosed primary immunodeficiencies, necessitate improved early detection. Leveraging large-scale electronic health records (EHR) from four nationwide US cohorts, we developed a novel causal…
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Accurate detection of Parkinson’s disease (PD) through speech analysis holds great promise for early diagnosis and improved patient management. However, developing robust machine learning models is challenging due to the decentralized nature of medical…
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