Medical AI

Medical AI aims to improve healthcare through the development and application of artificial intelligence, focusing on enhancing diagnostic accuracy, treatment personalization, and overall efficiency. Current research emphasizes explainable AI models, fairness and bias mitigation in algorithms and datasets (often using techniques like federated learning and synthetic data generation), and the integration of large language models (LLMs) and multimodal data (including images, text, and physiological signals) for improved decision-making. These advancements hold significant potential to improve patient outcomes, streamline clinical workflows, and address healthcare disparities, particularly in resource-limited settings.