In the United States, normal-risk pregnancies are monitored with the recommended average of 14 prenatal visits. Check-ins every few weeks are the standard of care. This low time resolution and reliance on subjective feedback…
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News
CHIME publishes a report of 10 principles, with detailed recommendations for each, that will ensure the ethical and effective implementation of AI in healthcare.
Amazon’s One Medical team is reportedly considering developing an AI…
The increasing prevalence of myopia worldwide presents a significant public health challenge. A key strategy to combat myopia is with early detection and prediction in children as such examination allows for effective intervention using…
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Multiple myeloma management requires a balance between maximizing survival, minimizing adverse events to therapy, and monitoring disease progression. While previous work has proposed data-driven models for individual tasks, these approaches fail to provide a…
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Global healthcare AI platform Ubie and the American Kidney Fund (AKF) will collaborate to fine-tune Ubie’s AI-enabled symptom checker for kidney disease detection with the aim of accelerating a patient’s time to treatment. Ubie’s AI…
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Precision medicine is revolutionizing healthcare – by optimizing the efficiency and therapeutic benefit for particular groups of patients, especially by using genetic or molecular profiling. This approach enables a range of health disciplines, including…
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Introduction
In the rapidly evolving landscape of precision medicine, the integration of advanced technologies like artificial intelligence (AI) is crucial. Proscia, a global leader in AI-enabled pathology solutions, has partnered with Nucleai, a prominent spatial…
Introduction
Cervical spine injuries in children, though rare, pose serious risks such as paralysis. The standard detection methods, involving X-rays and computed tomography (CT) scans, expose children to radiation, potentially leading to long-term health issues….
South Korea OKs new stroke prediction AI softwareSouth Korea’s Ministry of Food and Drug Safety has recently approved an AI-based software for predicting the onset of ischemic stroke or cerebral infarction.
The NNS-SOT software, developed…
Malnutrition is a frequently underdiagnosed condition leading to increased morbidity, mortality, and healthcare costs. The Mount Sinai Health System (MSHS) deployed a machine learning model (MUST-Plus) to detect malnutrition upon hospital admission. However, in…
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