Google has introduced Health AI Developer Foundations (HAI-DEF), a public resource for healthcare developers that provides open-weight models to help them build healthcare applications, initially focused on dermatology, radiology and pathology.Open-weight AI models are…
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Singapore General Hospital is developing an AI solution to determine the necessity of prescribing antibiotics, reduce their use, and identify the most appropriate ones for each patient. Developed with DXC Technology, the Augmented Intelligence in…
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A new research report from Yale School of Medicine offers an up-close look at how biased artificial intelligence can affect clinical outcomes. The study focuses specifically on the different stages of AI model development,…
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CT is crucial for diagnosing chest diseases, with image quality affected by spatial resolution. Thick-slice CT remains prevalent in practice due to cost considerations, yet its coarse spatial resolution may hinder accurate diagnoses. Our…
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Twin brothers Xing and Yang Su have shaped their careers around each other and have long wanted to start a company together. As they were deciding what to build, their three living grandparents—who had…
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Patients with rare diseases often experience prolonged diagnostic delays. Ordering appropriate genetic tests is crucial yet challenging, especially for general pediatricians without genetic expertise. Recent American College of Medical Genetics (ACMG) guidelines embrace early…
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What You Should Know:
– Zarminali Health, a new pediatric healthcare provider, has secured $40M in seed funding to revolutionize the delivery of primary and specialty care for children led by General Catalyst.
– Zarminali Health…
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A fundamental goal of evaluating the performance of a clinical model is to ensure it performs well across a diverse intended patient population. A primary challenge is that the data used in model development…
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Jimini Health co-founders Luis Voloch, Mark Jacobstein, and Sahil Sud. Photo credit: Jimini Health.
What You Should Know:
– Jimini Health, a digital health company reimagining mental healthcare, has announced its launch with $8 million in…
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We developed an interpretable model, BOUND (Bayesian netwOrk for large-scale lUng caNcer Digital prescreening), using a comprehensive EHR dataset from the China to improve lung cancer detection rates. BOUND employs Bayesian network uncertainty inference,…
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