Medical Video

Medical video analysis is a rapidly developing field aiming to leverage the rich information in video data for improved healthcare. Current research focuses on automating tasks like keyframe extraction and annotation, developing robust methods for privacy-preserving analysis (e.g., automated face blurring), and creating models that can answer questions and perform tasks such as segmentation and measurement directly from video content. These advancements utilize deep learning architectures, including transformers and convolutional neural networks, often incorporating multimodal approaches that combine visual and textual information. The ultimate goal is to enhance clinical workflows, improve diagnostic accuracy, and facilitate medical education and training through efficient and reliable analysis of medical videos.