Healthcare Application

Healthcare applications of artificial intelligence are rapidly expanding, driven by the need for improved diagnostics, personalized treatment, and efficient patient monitoring. Current research focuses on leveraging large language models (LLMs), small language models (SLMs), and multimodal deep learning architectures, often incorporating techniques like federated learning to address data privacy concerns. These advancements aim to enhance accuracy, accessibility, and explainability of AI-driven healthcare tools, ultimately impacting clinical decision-making, patient care, and the efficiency of healthcare systems.