Report Generation

Automatic report generation leverages artificial intelligence to create comprehensive reports from various data sources, primarily aiming to improve efficiency and accuracy across diverse fields. Current research focuses on integrating large language models (LLMs) with other techniques like retrieval augmented generation (RAG) and multimodal learning, often employing transformer-based architectures to generate text from images (e.g., medical scans) or structured data (e.g., financial records). This technology has significant implications for healthcare (reducing radiologist workload, improving diagnostic accuracy), finance (automating financial reporting), and other domains requiring efficient and accurate report generation, ultimately enhancing productivity and decision-making.