Artificial intelligence (AI) is revolutionizing the way medicine is practiced. In this context, the application of AI algorithms in endoscopy is gaining increasing attention so that modern endoscopy is moving towards more and more assisted/automatic solutions. Several approaches have been carried out in order to improve accuracy in diagnosis and surgical procedures. In this chapter, a general overview of the main contributions in the field is surveyed. Four main categories of applications were identified, namely, (i) detection and diagnosis during endoscopic procedure, (ii) informative frame selection, (iii) mosaicking and surface reconstruction, (iv) augmented reality systems for intraoperative assistance and surgeon training. Discussions on future research directions and implementation in clinical practice are provided.
AIM in Endoscopy Procedures
Marzullo A.
;Calimeri F.
;
2022-01-01
Abstract
Artificial intelligence (AI) is revolutionizing the way medicine is practiced. In this context, the application of AI algorithms in endoscopy is gaining increasing attention so that modern endoscopy is moving towards more and more assisted/automatic solutions. Several approaches have been carried out in order to improve accuracy in diagnosis and surgical procedures. In this chapter, a general overview of the main contributions in the field is surveyed. Four main categories of applications were identified, namely, (i) detection and diagnosis during endoscopic procedure, (ii) informative frame selection, (iii) mosaicking and surface reconstruction, (iv) augmented reality systems for intraoperative assistance and surgeon training. Discussions on future research directions and implementation in clinical practice are provided.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
