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Clinical Decision Support Systems

Clinical Decision Support Systems (CDSS) use AI, analytics, and medical knowledge bases to assist healthcare professionals in making accurate and timely clinical decisions. These systems analyze patient data, lab results, symptoms, and medical history to generate alerts, recommendations, and diagnostic insights. CDSS help identify potential drug interactions, suggest treatment options, and flag critical abnormalities. Integrated with EHRs, they improve workflow efficiency and reduce diagnostic errors. By providing evidence-based guidance at the point of care, clinical decision-support systems enhance patient safety, support personalized treatment, and strengthen overall clinical outcomes.

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    • Journal Highlights

    Artificial Intelligence in Healthcare Machine Learning and Deep Learning Medical Imaging and Diagnostics Predictive Analytics Digital Health Technologies Telemedicine and mHealth Wearable Devices and Remote Monitoring Health Informatics and EHR Big Data in Medicine Robotics and Automation AI in Drug Discovery Healthcare Cybersecurity Smart Hospital Systems Clinical Decision Support Systems Natural Language Processing

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