PHYSICIAN SELECTION OF COLORECTAL CANCER SCREENING METHODS IN AFRICAN-AMERICAN AND WHITE PATIENTS

2003 ◽  
Vol 98 ◽  
pp. S110
Author(s):  
Marie L. Borum
Keyword(s):  
Colorectal Cancer ◽  
African American ◽  
Cancer Screening ◽  
Colorectal Cancer Screening ◽  
Screening Methods ◽  
Selection Of ◽  
White Patients

Barriers and Facilitators to Colorectal Cancer Screening in African-American Men

2021 ◽  
Author(s):  
Victoria Earl ◽  
Derrick Beasley ◽  
Chengcheng Ye ◽  
Sean N. Halpin ◽  
Nicole Gauthreaux ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
African American ◽  
Cancer Screening ◽  
Colorectal Cancer Screening ◽  
African American Men ◽  
Barriers And Facilitators

CT Colongraphy as a Tool for Colorectal Cancer Screening in African American Patients

2013 ◽  
Vol 108 ◽  
pp. S645
Author(s):  
Eliezer Weiss ◽  
Mark Pinkhasov ◽  
Amiram Samin ◽  
Frank Gress ◽  
Adam Goodman
Keyword(s):  
Colorectal Cancer ◽  
African American ◽  
Cancer Screening ◽  
Colorectal Cancer Screening

scholarly journals Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal Cancer

2020 ◽  
Vol 9 (10) ◽  
pp. 3313 ◽  
Author(s):  
Hemant Goyal ◽  
Rupinder Mann ◽  
Zainab Gandhi ◽  
Abhilash Perisetti ◽  
Aman Ali ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Colorectal Cancer ◽  
Cancer Screening ◽  
Colorectal Cancer Screening ◽  
Narrow Band Imaging ◽  
Screening Methods ◽  
Polyp Detection ◽  
Mortality And Morbidity ◽  
Magnifying Chromoendoscopy

Globally, colorectal cancer is the third most diagnosed malignancy. It causes significant mortality and morbidity, which can be reduced by early diagnosis with an effective screening test. Integrating artificial intelligence (AI) and computer-aided detection (CAD) with screening methods has shown promising colorectal cancer screening results. AI could provide a “second look” for endoscopists to decrease the rate of missed polyps during a colonoscopy. It can also improve detection and characterization of polyps by integration with colonoscopy and various advanced endoscopic modalities such as magnifying narrow-band imaging, endocytoscopy, confocal endomicroscopy, laser-induced fluorescence spectroscopy, and magnifying chromoendoscopy. This descriptive review discusses various AI and CAD applications in colorectal cancer screening, polyp detection, and characterization.

A Mobile App to Increase Informed Decisions About Colorectal Cancer Screening Among African American and Caucasian Women

2018 ◽  
Vol 41 (4) ◽  
pp. 297-303 ◽  
Author(s):  
Kelly Brittain ◽  
Kendra Kamp ◽  
Christos Cassandras ◽  
Zachary Salaysay ◽  
José Gómez-Márquez
Keyword(s):  
Colorectal Cancer ◽  
African American ◽  
Cancer Screening ◽  
Colorectal Cancer Screening ◽  
Mobile App ◽  
Informed Decisions ◽  
Caucasian Women

574 RECENT TRENDS IN COLORECTAL CANCER SCREENING METHODS BASED ON MEDICARE CLAIMS DATA

2020 ◽  
Vol 158 (6) ◽  
pp. S-121
Author(s):  
Ahmet B. Ozbay ◽  
Lila J. Finney Rutten ◽  
John B. Kisiel ◽  
Paul Limburg ◽  
Marcus Parton
Keyword(s):  
Colorectal Cancer ◽  
Cancer Screening ◽  
Colorectal Cancer Screening ◽  
Claims Data ◽  
Screening Methods ◽  
Medicare Claims ◽  
Recent Trends ◽  
Medicare Claims Data
Sign in / Sign up

Export Citation Format

Share Document