MIS-VQA: An Annotation-Driven Surgical Vision-Language Dataset for Complex Surgical Understanding
Modern surgical AI increasingly requires multimodal understanding rather than isolated perception, yet existing datasets remain largely limited to single-task supervision such as recognition or templated question answering. Current medical VQA resources often rely on synthetic templates, lack natural descriptive superv...