Browsing by Author "Mann, Rupinder"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Prevalence, Mechanisms, and Implications of Gastrointestinal Symptoms in COVID-19
    (Frontiers, 2020-10) Perisetti, Abhilash; Goyal, Hemant; Gajendran, Mahesh; Boregowda, Umesha; Mann, Rupinder; Sharma, Neil; Medicine, School of Medicine
    Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. The infection started as an outbreak of pneumonia-like symptoms in Wuhan, China. Within a few weeks, it spread across the entire globe resulting in millions of cases and thousands of deaths. While respiratory symptoms and complications are well-defined and can be severe, non-respiratory symptoms of COVID-19 are increasingly being recognized. Gastrointestinal manifestations such as nausea, vomiting, diarrhea, and abdominal pain have been added to the list of common COVID-19 symptoms. Their prevalence has been increasing, probably due to increased recognition and experience with the pandemic. Furthermore, diarrhea and stool testing may change prevalence and transmission rates due to suspicion for fecal-oral transmission of the COVID-19. Due to this risk, various countries have started testing wastewater and sewage systems to examine its role in the spread of SARS-CoV-2 among communities. In this review article, we describe the common gastrointestinal manifestations in COVID-19, their prevalence based upon the current literature, and highlight the importance of early recognition and prompt attention. We also note the role of fecal-oral transmission. Furthermore, the mechanisms of these symptoms, the role of medications, and potential contributing factors are also elaborated.
  • Thumbnail Image
    Item
    Scope of Artificial Intelligence in Screening and Diagnosis of Colorectal Cancer
    (MDPI, 2020-10-15) Goyal, Hemant; Mann, Rupinder; Gandhi, Zainab; Perisetti, Abhilash; Ali, Aman; Aman Ali, Khizar; Sharma, Neil; Saligram, Shreyas; Tharian, Benjamin; Inamdar, Sumant; Medicine, School of Medicine
    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.