A study by the Regenstrief Institute and Indiana University has demonstrated the potential of using natural language processing technology to extract social risk factor information from clinical notes.The NLP system developed by the research…
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MRI scans combined with PSA density in prostate cancer screening, pioneered by a UCL-led study, identified cases missed by PSA tests alone. The REIMAGINE study revealed that 15 participants with significant cancer had ‘low’…
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We present an artificial intelligence (AI) system to remotely assess the motor performance of individuals with Parkinson’s disease (PD). In our study, 250 global participants performed a standardized motor task involving finger-tapping in front…
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By Shania Kennedy
August 22, 2023 – Researchers from Brigham and Women’s Hospital and Keio University in Japan have developed a deep learning (DL) model capable of screening electrocardiograms (ECGs) for signs of atrial septal defects…
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Paige partners with Ohio State Wexner Medical Center to assess AI’s role in precise prostate cancer diagnosis in community hospitals. The collaboration employs the FDA-approved Paige Prostate Detect AI tool to gauge diagnostic accuracy,…
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The transition from pregnancy into parturition is physiologically directed by maternal, fetal and placental tissues. We hypothesize that these processes may be reflected in maternal physiological metrics. We enrolled pregnant participants in the third-trimester…
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Human Papilloma Virus (HPV)-associated oropharyngeal squamous cell cancer (OPSCC) represents an OPSCC subgroup with an overall good prognosis with a rising incidence in Western countries. Multiple lines of evidence suggest that HPV-associated tumors are…
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By Hannah Nelson
August 18, 2023 – According to a study published in JAMIA, a willingness to learn on the job by asking questions was important for resident development in EHR use and clinical documentation.
Researchers…
By Shania Kennedy
August 18, 2023 – In a study recently published in JAMA Network Open, researchers have externally validated a machine learning (ML) model designed to predict six-month mortality risk for patients with advanced cancer…
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Digital health interventions have been shown to be clinically-effective for type 2 diabetes mellitus (T2DM) and hypertension prevention and treatment. This study synthesizes and compares the cost-effectiveness of text-messaging, smartphone application, and websites by…
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