Elymir Galvis-García, Francisco J de la Vega-González, Fabian Emura, Óscar Teramoto-Matsubara, Juan C Sánchez-Robles, Gonzalo Rodríguez-Vanegas, Sergio Sobrino-Cossío
{"title":"Inteligencia artificial en la colonoscopia de tamizaje y la disminución del error.","authors":"Elymir Galvis-García, Francisco J de la Vega-González, Fabian Emura, Óscar Teramoto-Matsubara, Juan C Sánchez-Robles, Gonzalo Rodríguez-Vanegas, Sergio Sobrino-Cossío","doi":"10.24875/CIRU.22000446","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial Intelligence (AI) has the potential to change many aspects of healthcare practice. Image discrimination and classification has many applications within medicine. Machine learning algorithms and complicated neural networks have been developed to train a computer to differentiate between normal and abnormal areas. Machine learning is a form of AI that allows the platform to improve without being programmed. Computer Assisted Diagnosis (CAD) is based on latency, which is the time between the captured image and when it is displayed on the screen. AI-assisted endoscopy can increase the detection rate by identifying missed lesions. An AI CAD system must be responsive, specific, with easy-to-use interfaces, and provide fast results without substantially prolonging procedures. AI has the potential to help both, trained and trainee endoscopists. Rather than being a substitute for high-quality technique, it should serve as a complement to good practice. AI has been evaluated in three clinical scenarios in colonic neoplasms: the detection of polyps, their characterization (adenomatous vs. non-adenomatous) and the prediction of invasive cancer within a polypoid lesion.</p>","PeriodicalId":50990,"journal":{"name":"Cirugia Y Cirujanos","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cirugia Y Cirujanos","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.24875/CIRU.22000446","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial Intelligence (AI) has the potential to change many aspects of healthcare practice. Image discrimination and classification has many applications within medicine. Machine learning algorithms and complicated neural networks have been developed to train a computer to differentiate between normal and abnormal areas. Machine learning is a form of AI that allows the platform to improve without being programmed. Computer Assisted Diagnosis (CAD) is based on latency, which is the time between the captured image and when it is displayed on the screen. AI-assisted endoscopy can increase the detection rate by identifying missed lesions. An AI CAD system must be responsive, specific, with easy-to-use interfaces, and provide fast results without substantially prolonging procedures. AI has the potential to help both, trained and trainee endoscopists. Rather than being a substitute for high-quality technique, it should serve as a complement to good practice. AI has been evaluated in three clinical scenarios in colonic neoplasms: the detection of polyps, their characterization (adenomatous vs. non-adenomatous) and the prediction of invasive cancer within a polypoid lesion.
期刊介绍:
Cirugía y Cirujanoses exponente del desarrollo académico, científico, médico, quirúrgico y tecnológico en materia de salud en México y en el ámbito internacional. Es una revista bimestral, open access, revisada por pares, que publica en español y en inglés (traducido sin coste para los autores) artículos científicos originales, casos clínicos, artículos de revisión de interés general y cartas al editor. Los artículos se seleccionan y publican siguiendo un riguroso análisis, de acuerdo con los estándares internacionalmente aceptados. Sus espacios están abiertos a los académicos, así como a todo miembro de la comunidad médica que manifieste interés por utilizar este foro para publicar sus trabajos.