Medical Artificial Intelligence

Medical artificial intelligence (AI) aims to improve healthcare through the development and application of AI algorithms to medical data, primarily focusing on improving diagnostic accuracy, treatment planning, and patient care. Current research emphasizes multimodal learning, incorporating diverse data types like images and clinical notes, often utilizing deep learning architectures such as convolutional neural networks (CNNs), vision transformers, and diffusion models, along with federated learning to address data privacy concerns. This field holds significant promise for enhancing healthcare efficiency and equity by enabling earlier and more accurate diagnoses, personalized treatments, and improved access to care, particularly in resource-constrained settings.