Browsing by Author "Sulabh G."

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    Artificial intelligence (AI) based colonoscopy
    (Institute of Physics Publishing, 2024) Hamid A.; Kumar R.; Chaturvedi V.K.; Dutt S.; Sulabh G.; Kumar V.; Yadav D.P.
    With the increase in the world's population and development, a number of healthrelated issues are also increasing in gastroenterology. One of the major causes is poor food habits. To deal with this, constant advancement is required in the field of the medical sector, which will not only help in easy and earlier diagnosis of the underlying health issue but also in accurate diagnosis. In this chapter advancement and collaboration of artificial intelligence with the medical sector are discussed below. How one technique helps is the accurate detection of colorectal cancer (CRC) as well as other diseases such as IBD or any other abnormalities in the colon. A different version of colonoscopy has been developed along with artificial intelligence, discussed in this chapter with future prospects and advancement. � IOP Publishing Ltd 2024. All rights reserved.
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    Artificial intelligence in hepatitis and chronic liver disease
    (Institute of Physics Publishing, 2024) Hamid A.; Sulabh G.; Kumar V.
    Artificial Intelligence (AI) is a well-developing field of computer science that imitateshuman technical thinking to solve problems. The use of different AI models inhepatology is a recent development in the medical field for better diagnostics.Conventional diagnostic methods are being integrated with modern AI to enhancethe performance of treatment. AI has the ability to mine the data in humanparameters, and forecast the occurrence of hepatitis and other chronic liver diseases.Classifying the different stages of hepatitis, fatty liver disease and hemochromatosisare possible along with diagnosis and screening. Early disease prediction, complications and mortality can be studied using the algorithms such as regression models,since hepatitis early diagnosis is clinically limited in early stages. AI can predict therisk related to the vascular invasion of hepatocellular carcinoma and hepatitisrelated to cirrhosis. It also calculates the liver failure rate in hepatocellularcarcinoma (HCC) patients. Ultimately AI will eventually help in reducing medicalerrors and managing the patient clinical output. � IOP Publishing Ltd 2024. All rights reserved.