Using administrative claims and electronic health records for observational studies is common but challenging due to data limitations. Researchers rely on phenotype algorithms, requiring labor-intensive chart reviews for validation. This study investigates whether case…
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Background: Wrist-worn photoplethysmography (PPG) sensors allows continuous heart rate (HR) measurement without inconveniences of wearing a chest belt. While green light PPG technology reduces HR measurement motion artifacts, only a limited number of studies…
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Researchers at The Clatterbridge Cancer Centre NHS Foundation Trust in Wirral are using AI to enhance the precision of radiotherapy for prostate cancer.
The PIVOTALboost study, which ran from 2018, recently closed after surveying data…
Groundbreaking Study Results
An international multicenter analysis has revealed remarkable outcomes for patients receiving CyberKnife radiosurgery (SRS) and fractionated stereotactic radiotherapy (FSRT) for brainstem metastases. The study, published in the International Journal of Cancer, demonstrates…
The Food and Drug Administration (FDA) published new draft guidelines aimed at improving the accuracy and performance of pulse oximeters by considering the range of skin tones.The guidance, Pulse Oximeters for Medical Purposes -…
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Fatigue is prevalent in immune-mediated inflammatory and neurodegenerative diseases, yet its assessment relies largely on patient-reported outcomes, which capture perception but not fluctuations over time. Wearable sensors, like inertial measurement units (IMUs), offer a…
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Label noise is a common and important issue that would affect the model’s performance in artificial intelligence. This study assessed the effectiveness and potential risks of automated label cleaning using an open-source framework, Cleanlab,…
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Adaptive deep brain stimulation (DBS) provides individualized therapy for people with Parkinson’s disease (PWP) by adjusting the stimulation in real-time using neural signals that reflect their motor state. Current algorithms, however, utilize condensed and…
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Large-scale and detailed analyses of activity in the United States (US) remain limited. In this work, we leveraged the comprehensive wearable, demographic, and survey data from the All of Us Research Program, the largest…
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Generating realistic synthetic health data (e.g., electronic health records), holds promise for fundamental research, AI model development, and enhancing data privacy safeguards. Generative Adversarial Networks (GANs) have been employed for this purpose, but their…
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