The healthcare industry is undergoing transformation through the application of AI and NLP technologies. These advanced tools and techniques enhance the patient care, clinical process optimization and improve medical research. This abstract examines the impact of AI-driven NLP technologies in healthcare, highlighting primary uses and recent innovations. Valuable information is uncovered from unstructured medical data, such as electronic health records(EHR), clinical documentations, and medical literature by utilizing NLP algorithms. These technologies supportearly detection of diseases, automated diagnosticassistance and personalized treatment recommendations. Additionally, NLP based chatbots and digital assistants are improving patient engagement and providing continues access to medical information. By integrating NLP with other AI techniques, such as machine learning and computer vision canimproving healthcare analytics and decision-making. This paper discusses the challenges and ethical issues associated with implementing AI-powered NLP in healthcare including data privacy, algorithmic prejudice, and the need for understandable models.By exploringthe existing applications and future possibilities, this study highlights the capability of AI-driven natural language processing to substantially enhance patient outcomes, improve healthcare services, and accelerate medical breakthroughs.
Alex et al. (Tue,) studied this question.