The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Aim Artificial neural networks (ANNs) are computer programs used to identify complex relations within data. Routine predictions of presence of colorectal pathology based on population statistics have little meaning for individual patient. This results in large number of unnecessary lower gastrointestinal endoscopies (LGEs – colonoscopies and flexible sigmoidoscopies). We aimed to develop a neural...
Purpose The clinical assessment of position in colon and hence completion during flexible sigmoidoscopy (FS) is believed to be inaccurate. The technique of applying endomucosal clips with follow-up X-ray has previously been used for establishing completion in colonoscopy. Furthermore, we have now trained non-healthcare professionals (non-medical endoscopists, NME) to perform FS, but there is no data...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.