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1.
Colorectal Disease ; 24(SUPPL 1):75, 2022.
Article in English | EMBASE | ID: covidwho-1745944

ABSTRACT

Purpose: Early in the coronavirus pandemic, guidelines and consensus have been proposed for the management of various general surgical emergencies to help surgeons serve the best interests of patients during an unprecedented time. There has been an agreement that certain conditions such as acute appendicitis should be managed conservatively with antibiotics whereas strong emphasis was put on the importance of timely surgical intervention on perianal and other superficial abscesses. Methods: Using ICD-10 codes, we investigated the impact of COVID-19 on surgical admissions due to perianal, pilonidal abscesses and acute appendicitis as comparison between March and November in 2020 and compared it to the same period in 2019. Results: The total number of surgical admissions due to perianal and pilonidal abscesses decreased by 22.5 and 31.7%, respectively, compared to the same period in 2019. Most of the decline was noted during the first wave, from March to July. Whereas acute appendicitis admissions remained comparatively constant between 2019 and 2020. Conclusion: Despite guidance regarding operative management of abscesses during the pandemic, the total number of surgical admissions due to perianal and pilonidal abscesses was reduced in comparison to the same period in 2019. Most of the decline was noted during the first wave, from March to July. This might result in higher rate of complications presenting at a later time.

2.
IAES International Journal of Artificial Intelligence ; 11(1):356-366, 2022.
Article in English | Scopus | ID: covidwho-1742954

ABSTRACT

There is no well-known vaccine for coronavirus disease (COVID-19) with 100% efficiency. COVID-19 patients suffer from a lung infection, where lung-related problems can be effectively diagnosed with image techniques. The golden test for COVID-19 diagnosis is the RT-PCR test, which is costly, time-consuming and unavailable for various countries. Thus, machine learning-based tools are a viable solution. Here, we used a labelled chest X-ray of three categories, then performed data cleaning and augmentation to use the data in deep learning-based convolutional neural network (CNN) models. We compared the performance of different models that we gradually built and analyzed their accuracy. For that, we used 2905 chest X-ray scan samples. We were able to develop a model with the best accuracy of 97.44% for identifying COVID-19 using X-ray images. Thus, in this paper, we attested the feasibility of efficiently applying machine learning (ML) based models for medical image classification. © 2022, Institute of Advanced Engineering and Science. All rights reserved.

3.
Colorectal Disease ; 23(SUPPL 1):29, 2021.
Article in English | EMBASE | ID: covidwho-1457936

ABSTRACT

Purpose: Early in the coronavirus pandemic, guidelines and consensus have been proposed for the management of various general surgical emergencies to help surgeons serve the best interests of patients during an unprecedented time. There has been an agreement that certain conditions such as acute appendicitis should be managed conservatively with antibiotics whereas strong emphasis was put on the importance of timely surgical intervention on perianal and other superficial abscesses. Methods: Using ICD-10 codes, we investigated the impact of COVID-19 on surgical admissions due to perianal, pilonidal abscesses and acute appendicitis as comparison between March and November in 2020 and compared it to the same period in 2019. Results: The total number of surgical admissions due to perianal and pilonidal abscesses decreased by 22.5 and 31.7%, respectively, compared to the same period in 2019. Most of the decline was noted during the first wave, from March to July. Whereas acute appendicitis admissions remained comparatively constant between 2019 and 2020. Conclusion: Despite guidance regarding operative management of abscesses during the pandemic, the total number of surgical admissions due to perianal and pilonidal abscesses was reduced in comparison to the same period in 2019. Most of the decline was noted during the first wave, from March to July. This might result in higher rate of complications presenting at a later time.

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