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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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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Background: ViSi Mobile has the capability of monitoring a patient’s posture continuously during hospitalization. Analysis of ViSi telemetry data enables researchers and healthcare providers to quantify an individual patient’s movement and investigate collective patterns…
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Ballad Health, a healthcare system, is using AI-based patient safety company MedAware’s AI-powered medication safety monitoring platform to allow real-time personalized risk monitoring for acute care patients.The acute care pharmacy team at Ballad Health…
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What You Should Know:
– CareYaya Health Technologies, a leading innovator in AI-powered solutions for the aging population, has launched MedaCareLLM, a new AI platform designed to assist individuals with dementia and Alzheimer’s disease.
– Integrated…
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Periprosthetic joint infection (PJI) is a severe complication after joint replacement surgery that demands precise diagnosis for effective treatment. We enhanced PJI diagnostic accuracy through three steps: (1) developing a self-supervised PJI model with…
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Drug-related errors are a leading cause of preventable patient harm in the clinical setting. We present the first wearable camera system to automatically detect potential errors, prior to medication delivery. We demonstrate that using…
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Increasing interest in applying large language models (LLMs) to medicine is due in part to their impressive performance on medical exam questions. However, these exams do not capture the complexity of real patient–doctor interactions…
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Most clinical information is encoded as free text, not accessible for quantitative analysis. This study presents an open-source pipeline using the local large language model (LLM) “Llama 2” to extract quantitative information from clinical…
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About a million possible cases of atrial fibrillation, a known risk for stroke, go undetected in Japan. A local startup is introducing an innovative AI targeting this growing danger.Founded in 2019, Cardio Intelligence develops…
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