AI Tools and the Evolution in Medical Writing

Abstract

Medical writing takes complicated scientific and clinical information and turns it into clear, organised documents that can be read by wide range of people, such as healthcare professionals, regulatory bodies, and the general public. It has its roots in ancient manuscripts and has changed over time as scientific publishing has grown. Medical writers today write regulatory submissions, research article, and educational materials. They are very important for good communication and compliance in the medical and pharmaceutical industries. Artificial intelligence is reshaping health care communication at an unprecedented pace. AI- powered Chabot and language models simplify complex medical information, boost patient engagement, and offer personalized responses, improving understanding and compliance. Healthcare organizations are increasingly adopting AI for patient conversation, reporting faster resolutions, higher satisfaction, and fewer complaints. As Ai continuous to evolve, it empowers healthcare providers and patients alike, making communication more accessible, efficient, and tailored to individual needs. The review examine how artificial intelligence is shaping medical writing It examines how AI technologies-ranging from natural language processing (NLP) models and machine learning writing, including literature review, data interpretation, manuscript drafting, and regulatory documentation. The review covers the integration of AI in both academic and industry and quality assurance measures. Special emphasis is place on the evolving role of the medical writer in the era of AI, the discussion highlights the potential for human - AI collaboration, and outlines future directions for its responsible implementation in clinical and scientific communication.