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Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare focuses on the development and application of intelligent algorithms to enhance clinical decision-making, diagnosis, and treatment. AI enables automated image interpretation, early disease detection, personalized treatment planning, and efficient patient monitoring. Through machine learning and deep learning models, healthcare systems can analyze large datasets, predict patient outcomes, and optimize hospital workflows. AI supports virtual assistants, robotic surgeries, and digital therapeutics, improving accuracy and reducing human error. It also enhances telemedicine by enabling remote diagnostics and continuous health tracking. With growing adoption, AI is transforming medical research, operational efficiency, and patient care across global healthcare settings.

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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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