Supporting Surgical Training with the Help of Computer Vision and Machine Learning Methods

Abstrakt

The paper presents a novel concept of laparoscopic skills evaluation based on the automated analysis of videos recorded during simulationbased training exercises via an artificial intelligence algorithm. It has been tested on data collected during the training of actual surgeons. Its performance is promising, providing an opportunity to build an automatic system used mainly in developing countries.

Opis

Słowa kluczowe

surgical training, skills evaluation, laparoscopic intervention, computer vision, machine learning, object detection, classification, szkolenie chirurgiczne, ocena umiejętności, interwencja laparoskopowa, wizja komputerowa, uczenie maszynowe, wykrywanie obiektów, klasyfikacja

Cytowanie

Forczmański P., Ryder Y.C., Mott N.M., Gross Ch.L., Yu B.J., Rooney D.M., Jeffcoach D.R., Bidwell S., Anidi Ch., Rosenthal L., Kim G.J., Supporting Surgical Training with the Help of Computer Vision and Machine Learning Methods. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 259-264, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.41.

Kolekcje