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Classifying Vocal Folds Fixation from Endoscopic Videos with Machine Learning.
Annu Int Conf IEEE Eng Med Biol Soc
July 2023
Vocal folds motility evaluation is paramount in both the assessment of functional deficits and in the accurate staging of neoplastic disease of the glottis. Diagnostic endoscopy, and in particular videoendoscopy, is nowadays the method through which the motility is estimated. The clinical diagnosis, however, relies on the examination of the videoendoscopic frames, which is a subjective and professional-dependent task.
View Article and Find Full Text PDFDevelopment of convolutional neural network models that recognize normal anatomic structures during real-time radial-array and linear-array EUS (with videos).
Gastrointest Endosc
February 2024
Gastroenterology and Hepatology, Elias Emergency University Hospital, Bucharest, Romania; Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Background And Aims: EUS is a high-skill technique that requires numerous procedures to achieve competence. However, training facilities are limited worldwide. Convolutional neural network (CNN) models have been previously implemented for object detection.
View Article and Find Full Text PDFA convolutional neural network for bleeding detection in capsule endoscopy using real clinical data.
Minim Invasive Ther Allied Technol
December 2023
Department of Gastroenterology and Hepatology, University Hospital Cologne, Cologne, Germany.
Article Synopsis
- * Researchers analyzed videos for 125 bleeding episodes and 103 normal tissues, using a neural network model (Inception V3) that leveraged transfer learning for training.
- * The CNN achieved a detection accuracy of 90.6%, indicating it could enhance diagnostic speed and accuracy in clinical settings for interpreting capsule endoscopy results.
Development of an artificial intelligence system for real-time intraoperative assessment of the Critical View of Safety in laparoscopic cholecystectomy.
Surg Endosc
November 2023
Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, Oita, Japan.
Background: The Critical View of Safety (CVS) was proposed in 1995 to prevent bile duct injury during laparoscopic cholecystectomy (LC). The achievement of CVS was evaluated subjectively. This study aimed to develop an artificial intelligence (AI) system to evaluate CVS scores in LC.
View Article and Find Full Text PDFGlobal assessment of surgical skills (GASS): validation of a new instrument to measure global technical safety in surgical procedures.
Surg Endosc
October 2023
CQInsights PBC, Knoxville, TN, USA.
Background: Broad implementation of the American Board of Surgery's entrustable professional activities initiative will require assessment instruments that are reliable and easy to use. Existing assessment instruments of general laparoscopic surgical skills have limited reliability, efficiency, and validity across the spectrum of formative (low-stakes) and summative (high-stakes) assessments. A novel six-item global assessment of surgical skills (GASS) instrument was developed and evaluated with a focus upon safe versus unsafe surgical practice scoring rubric.
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