Researchers have developed an end-to-end ai system for recognizing surgical gesture sequences and predicting clinical outcomes. The system utilizes a vision transformer to decode surgeon activity from surgical videos and captures relationships between suturing sub-skills. This technology aims to improve automatic suturing assessment.