Late Breaking Abstract

Late-breaking abstracts represent cutting-edge research across diverse scientific fields, showcasing preliminary findings and novel approaches. Current research focuses on leveraging AI, particularly large language models, to improve scientific communication, including summarizing complex literature for broader accessibility and identifying transformative research within clinical studies. These advancements aim to reduce cognitive load for professionals, enhance the efficiency of literature reviews, and improve the dissemination and understanding of scientific knowledge. The impact spans from improving the clarity of scientific writing to facilitating evidence-based decision-making in healthcare.