Work

Comparative Performance of Artificial Intelligence Optical Diagnosis Systems for Leaving in Situ Colorectal Polyps

Year: 2022

Type: article

Source: Gastroenterology

DOI: 10.1053/j.gastro.2022.10.021

Authors: Cesare Hassan, Prateek Sharma, Yuichi Mori, Michael Bretthauer, Douglas K. Rex, Marco Spadaccini, Carmelo Selvaggio, Giulio Antonelli, Kareem Khalaf, Tommy Rizkala, Elisa Ferrara, Victor Savevski, Roberta Maselli, Alessandro Fugazza, Antonio Capogreco, Valeria Poletti, Silvia Ferretti, Asma Alkandari, Loredana Correale, Alessandro Repici

Institutions: Humanitas University, IRCCS Humanitas Research Hospital, University of Kansas, University of Kansas Medical Center, Kansas City VA Medical Center, University of Oslo, SHOWA Medical University Northern Yokohama Hospital, Indiana University School of Medicine, Sapienza University of Rome

Language: English

Topic: Colorectal Cancer Screening and Detection

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Universitetet i Oslo, Humanitas University, School of Medicine, University of Kansas, School of Medicine, Indiana University, Japan Society for the Promotion of Science

Award: Artificial intelligence-based intervention in a cancer screening program

OpenAlex ID: W4307896057

FWCI: 4.724

Cites: 10

Cited by: 47

Related to: 10