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Natural Language Processing

Natural Language Processing (NLP) in healthcare focuses on enabling computers to understand, interpret, and generate human language from medical texts, records, and conversations. NLP extracts meaningful information from clinical notes, EHRs, research papers, and patient interactions. It supports automated report generation, symptom analysis, and medical coding. NLP-powered chatbots assist in triage, patient queries, and remote care. These tools improve clinical documentation, reduce administrative workload, and enhance communication between patients and providers. By converting unstructured text into actionable insights, NLP strengthens decision-making and drives smarter, more efficient digital healthcare solutions.

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2-5 Days Initial Quality & Plagiarism Check
15
Days		 Peer Review Feedback
85% Acceptance Rate (after peer review)
30-45 Days Total article processing time

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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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