open access

Journal of Artificial Intelligence and Digital Health

P e e r - R e v i e w e d  
Bi-Annual (Two issues per year)

ISSN: 3139-6267 (Online)
DOI Prefix (Crossref): 10.67238

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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English Publication Language
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17% Acceptance Rate
<18% Similarity Screening Guideline
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All manuscripts undergo editorial assessment and originality screening as part of the journal's evaluation process. The acceptance rate shown is based on journal-level editorial data and may change over time. Similarity reports are assessed editorially and are not interpreted solely on the basis of a numerical similarity score.

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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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