Guerriero, Ludovica (2023) "Colorectal 100" Application of Artificial Intelligence and Computer Vision in Laparosocpic Colorectal Surgery. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | "Colorectal 100" Application of Artificial Intelligence and Computer Vision in Laparosocpic Colorectal Surgery |
| Creators: | Creators Email Guerriero, Ludovica ludovica.guerriero@unina.it |
| Date: | 11 December 2023 |
| Number of Pages: | 30 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Sanità Pubblica |
| Dottorato: | Sanità pubblica e medicina preventiva |
| Ciclo di dottorato: | 35 |
| Coordinatore del Corso di dottorato: | nome email Triassi, Maria maria.triassi@unina.it |
| Tutor: | nome email Corcione, Francesco UNSPECIFIED |
| Date: | 11 December 2023 |
| Number of Pages: | 30 |
| Keywords: | Artificial intelligence, computer vision, colorectal surgery |
| Settori scientifico-disciplinari del MIUR: | Area 06 - Scienze mediche > MED/18 - Chirurgia generale |
| Date Deposited: | 19 Dec 2023 09:28 |
| Last Modified: | 09 Apr 2025 13:25 |
| URI: | http://www.fedoa.unina.it/id/eprint/14990 |
Collection description
When performing an operation, surgeons need to communicate with a team of collaborators, interpret multiple signals coming from screens and other devices, project surgical principles into the present case, anticipate consequences of decisions and act in a timely manner. The combination of all these complex events results in good quality surgery. In this thesis we analyze the application of computer vision computational tools for phase and step prediction in laparoscopic colorectal surgery, envisioning this input as a very valuable support for the surgeon’s decision making process during the operation. We discuss the vision of data-driven solutions in the surgical field of colorectal surgery and prospect a future scenario in which advanced analytics are used to promote safety in the operating room, resulting in improved surgical care for patients.
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