Transforming Healthcare with Natural Language Processing: A New Era of Innovation
Keywords:
Natural Language Processing, Healthcare, Equipment, Medical. Software, KnowledgeAbstract
Natural Language Processing (NLP) presents challenges in the health science field due to language complexities. NLP, a branch of artificial intelligence (AI), abstracts language into logical components to extract valuable information from unstructured text. It emerged in the 1940s, mainly for autonomous language translation. In healthcare, NLP
enhances patient care by processing unstructured data in Electronic Health Records (EHRs), improving diagnostic accuracy and treatment efficiency. It supports Clinical Decision Support Systems (CDSS) by providing critical information for medical decisions, reducing errors, and improving patient safety. NLP also aids clinical trial screening, automating patient selection for studies, and contributes to the Internet of Medical Things (IoMT) for real-time monitoring. Additionally, AI powered tools like CureSee for visual therapy and applications in Alzheimer’s diagnosis offer significant improvements in patient care and early disease detection. NLP further supports clinical research and predictive analytics, facilitating novel therapy discovery and early disease diagnosis.
How to cite this article:
Kumar D, Tanwar R, Jain D, Behmani K, Antal S,
Jarora S, Pal R, Pandey P. Transforming Healthcare
with Natural Language Processing: A New Era of
Innovation. Rec Trends Pharm Tech IndI 2025
7(1): 1-14.
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