<ul><li>Automated assessment of surgical skills using artificial intelligence (AI) provides trainees with instantaneous feedback.</li><li>Researchers developed an AI-based tool tracking model to eliminate the need for human annotators in laparoscopic suturing tasks.</li><li>The study evaluated the usefulness of the tool tracking model in automated assessment during a laparoscopic suturing task in the fundoplication procedure.</li><li>The AI model achieved an accuracy of 0.817 and an F1 score of 0.806, demonstrating its capability of automated performance classification.</li></ul>

Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplication

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