Completing an EPA Clinical Assessment
A guide to completing an EPA – Clinical Assessment.Learn more at www.digitalhealth.gov.au/healthcare-providers/initiatives-and-programs/workforce-capability/clinical-learning-australia…
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Tag: Learning
Clinical Learning Australia (CLA) – Log in and Settings
A guide to logging in to the CLA system and reviewing the settings that can be changed.More information can be found here: https://www.digitalhealth.gov.au/healthcare-providers/initiatives-and-programs/workforce-capability/clinical-learning-australia…
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Fusing multispectral information for retinal layer segmentation
Extensive research on retinal layer segmentation (RLS) using deep learning (DL) is mostly approaching a performance plateau, primarily due to reliance on structural information alone. To address the present situation, we conduct the first…
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How the Chief AI Officer at Children’s National approaches clinical and admin automation
Editor’s Note: This is part two of a two-part interview. To read part one, click here.Children’s National Hospital, in Washington, D.C., is making robust use of artificial intelligence technologies in both clinical and administrative…
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A scoping review of robustness concepts for machine learning in healthcare
While machine learning (ML)-based solutions—often referred to as artificial intelligence (AI) solutions—have demonstrated comparable or superior performance to human experts across various healthcare applications, their vulnerability to perturbations and stability to variations due to…
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A systematic review of machine learning applications in predicting opioid associated adverse events
Machine learning has increasingly been applied to predict opioid-related harms due to its ability to handle complex interactions and generating actionable predictions. This review evaluated the types and quality of ML methods in opioid…
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AI roundup: News from Mayo Clinic, Google Cloud and more
This week Abridge announced that its artificial intelligence listening documentation platform will be distributed more broadly at Mayo Clinic to improve patient care following the health system’s evaluation. The use of Google’s and other’s…
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Systematic review of machine learning applications using nonoptical motion tracking in surgery
This systematic review explores machine learning (ML) applications in surgical motion analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods. It investigates objectives, experimental designs, model effectiveness, and future research directions….
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Detecting early cognitive deficits in preclinical Alzheimer’s disease using a remote digital multi-day learning paradigm
Remote, digital cognitive testing on an individual’s own device provides the opportunity to deploy previously understudied but promising cognitive paradigms in preclinical Alzheimer’s disease (AD). The Boston Remote Assessment for NeuroCognitive Health (BRANCH) captures…
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Hyperautomation in Healthcare: IT with Benefits and Risks
Amol Dalvi, VP of Product at Nerdio
Healthcare is navigating an era of unprecedented technological evolution while contending with rising cybersecurity threats and increasing demands on IT systems. Amid these challenges, hyperautomation emerges as a…
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