Forczmański, PawełRyder, Yoonhee CMott, Nicole MGross, Christopher L.Yu, Joon B.Rooney, Deborah M.Jeffcoach, David R.Bidwell, SerenaAnidi, ChiomaRosenthal, LindsayKim, Grace J.2023-09-222023-09-222023Forczmański 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: 10.34658/9788366741928.41.978-83-66741-92-8http://hdl.handle.net/11652/4817https://doi.org/10.34658/9788366741928.41The 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.enDla wszystkich w zakresie dozwolonego użytkuFair use conditionsurgical trainingskills evaluationlaparoscopic interventioncomputer visionmachine learningobject detectionclassificationszkolenie chirurgiczneocena umiejętnościinterwencja laparoskopowawizja komputerowauczenie maszynowewykrywanie obiektówklasyfikacjaRozdział - monografiaLicencja PŁLUT License10.34658/9788366741928.41