Multimodal models have enabled the integration of digital pathology, radiology, clinical information, and omics data to enhance Colorectal cancer (CRC) care. This systematic review critically appraises Multimodal digital pathology techniques applied in CRC, their…
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Arun Hampapur, PhD – Co-Founder & CEO, Bloom Value; Fellow, IEEE
Implementing AI in Risk Adjustment for Managed Care is like adding rocket fuel to your engine—from accelerating chart reviews to identifying coding opportunities in…
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Depression is a prevalent and costly mental disorder across all ages. Artificial intelligence (AI)-assisted physiological and behavioral information—such as electroencephalography (EEG), eye movement, video or audio monitoring, and gait analysis—offers a promising tool for…
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The market for digital health monitoring is expanding rapidly, with technologies that track health information and provide access to medical data promising benefits for users, particularly in areas with limited healthcare resources. To understand…
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AI-powered smart glasses are emerging as a highly promising advancement in the field of digital health management, owing to their capabilities in real-time monitoring, chronic disease management, and personalized treatment planning. To comprehensively understand…
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As digital biomarkers gain traction in Alzheimer’s disease (AD) diagnosis, understanding recent advancements is crucial. This review conducts a bibliometric analysis of 431 studies from five online databases: Web of Science, PubMed, Embase, IEEE…
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The growth in digitization of health data provides opportunities for using algorithmic techniques for data analysis. This systematic review assesses whether quantum machine learning (QML) algorithms outperform existing classical methods for clinical decisioning or…
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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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As the healthcare industry increasingly adopts AI, the landscape of cybersecurity threats is changing rapidly. While AI can enhance patient care and streamline operations, it also introduces new vulnerabilities that cybercriminals may exploit.To help…
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By 2030, the healthcare artificial intelligence market is expected to be worth almost $188 billion.The Institute of Electrical and Electronic Engineers, the world’s largest nonprofit technical organization dedicated to the advancement of technology for…
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