Artificial intelligence (AI) is increasingly applied to clinical trial risk assessment, aiming to improve safety and efficiency. This scoping review analyzed 142 studies published between 2013 and 2024, focusing on safety (n = 55), efficacy (n = 46),…
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Cognitive impairment is a frequent complication of Parkinson’s disease (PD), affecting up to half of newly diagnosed patients. To improve early detection and risk assessment, we developed machine learning models using clinical data from…
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Identifying disease risk and detecting disease before clinical symptoms appear are essential for early intervention and improving patient outcomes. In this context, the integration of medical imaging in a clinical workflow offers a unique…
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Table of Contents
Introduction: The AI Healthcare Revolution
Documentation and Administrative AI Solutions
Ambient AI Scribes Transform Clinical Workflows
Prior Authorization Automation
Diagnostic and Monitoring AI Applications
AI-Powered Cancer Detection
Advanced Patient Monitoring Systems
Clinical Decision Support and Risk Assessment
Predictive Analytics for…
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Dana Brown, President and CEO of iCAD, a global leader on a mission to create a world where cancer can’t hide by providing clinically proven AI-powered breast health solutions joins eHealth Radio and the…
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The success of AI solutions in health systems depends on governance from use case inception through deployment and auditing. This proposed early pipeline governance framework for vendor AI solutions highlights a four-pronged approach: strategic…
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Revolutionary FDA Approval Marks Medical Milestone
Startup Clairity has achieved a groundbreaking milestone in healthcare technology, securing FDA approval for the agency’s first artificial intelligence tool specifically designed to predict five-year breast cancer risk from…
This video shares an in production use case of an automation with well designed workflow, that overcomes many of the challenges faced by back-office operations in health care. The automation was carried out by…
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In treating malignant cerebral edema after a large middle cerebral artery stroke, clinicians need quantitative tools for real-time risk assessment. Existing predictive models typically estimate risk at one, early time point, failing to account…
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Kettering Health Breast Centers was facing a challenge: Its cancer risk assessment process was inefficient and fragmented.Staff there relied on a separate tablet-based system where patients or staff completed risk questionnaires. This setup posed…
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