Improving Readability in Medical Reports Using Artificial Intelligence: A Comprehensive Review

Abstract

Medical reports are essential for patient care, clinical decision-making, and medical research. However, their complexity can hinder comprehension by patients and non-specialist healthcare providers. This review explores artificial intelligence (AI) technologies' potential to enhance medical reports' readability, ensuring broader accessibility. The study examines AI applications in natural language processing (NLP) and machine learning algorithms and assesses their effectiveness in simplifying medical language while retaining essential information. We conducted a systematic review following PRISMA guidelines, searching databases like PubMed, IEEE Xplore, and Google Scholar, focusing on studies published between 2015 and 2023. The review includes 40 references and highlights recent developments in AI-driven readability improvements, discusses challenges, and proposes future research directions.

Keywords: Readability, Medical Reports, Artificial Intelligence, Natural Language Processing, Machine Learning, Healthcare Communication