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Full-Text Articles in Gastroenterology
Impact Of Race And Socioeconomics Disparities On Survival In Young-Onset Colorectal Adenocarcinoma-A Seer Registry Analysis., Mark M Aloysius, Hemant Goyal, Niraj J Shah, Kumar Pallav, Nimy John, Mahesh Gajendran, Abhilash Perisetti Md, Benjamin Tharian
Impact Of Race And Socioeconomics Disparities On Survival In Young-Onset Colorectal Adenocarcinoma-A Seer Registry Analysis., Mark M Aloysius, Hemant Goyal, Niraj J Shah, Kumar Pallav, Nimy John, Mahesh Gajendran, Abhilash Perisetti Md, Benjamin Tharian
PCI Publications and Projects
INTRODUCTION: We aimed to assess the impact of socio-economic determinants of health (SEDH) on survival disparities within and between the ethnic groups of young-onset (age) colorectal adenocarcinoma patients.
PATIENTS AND METHODS: Surveillance, epidemiology, and end results (SEER) registry was used to identify colorectal adenocarcinoma patients aged between 25-49 years from 2012 and 2016. Survival analysis was performed using the Kaplan-Meir method. Cox proportional hazards model was used to determine the hazard effect of SEDH. American community survey (ACS) data 2012-2016 were used to analyze the impact of high school education, immigration status, poverty, household income, employment, marital status, and insurance …
Scope Of Artificial Intelligence In Screening And Diagnosis Of Colorectal Cancer, Hemant Goyal Md, Rupinder Mann Md, Zainab Gandhi Mbbs, Abhilash Perisetti Md, Aman Ali Md, Khizar Amani Ali, Neil Sharma Md, Benjamin Tharian Md, Shreyas Saligram, Sumant Inamdar
Scope Of Artificial Intelligence In Screening And Diagnosis Of Colorectal Cancer, Hemant Goyal Md, Rupinder Mann Md, Zainab Gandhi Mbbs, Abhilash Perisetti Md, Aman Ali Md, Khizar Amani Ali, Neil Sharma Md, Benjamin Tharian Md, Shreyas Saligram, Sumant Inamdar
PCI Publications and Projects
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 have shown promising results for colorectal cancer screening. 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, various advanced endoscopic modalities like magnifying narrow-band imaging, endocytoscopy, confocal endomicroscopy, laser-induced fluorescence spectroscopy, and magnifying chromoendoscopy. In this review, we have discussed …