المؤلفون: Ali, Hassam, Muzammil, Muhammad Ali, Dahiya, Dushyant Singh, Ali, Farishta, Yasin, Shafay, Hanif, Waqar, Gangwani, Manesh Kumar, Aziz, Muhammad, Khalaf, Muhammad, Basuli, Debargha, Al-Haddad, Mohammad

المساهمون: Medicine, School of Medicine

المصدر: PMC

مصطلحات موضوعية: Medical imaging, Gastroenterology, Artificial intelligence, Machine learning, Deep learning

وصف الملف: application/pdf

Relation: Annals of Gastroenterology; Ali H, Muzammil MA, Dahiya DS, et al. Artificial intelligence in gastrointestinal endoscopy: a comprehensive review. Ann Gastroenterol. 2024;37(2):133-141. doi:10.20524/aog.2024.0861; https://hdl.handle.net/1805/41855

الاتاحة: https://hdl.handle.net/1805/41855

المؤلفون: Ishtiaq, Rizwan, Niaz, Khurram, Masood, Darakshan, Ishtiaq, Daniyal, Yasin, Shafay, Chaudhry, Umer H, Ashraf, Anam

المصدر: Cureus ; ISSN 2168-8184

الاتاحة: http://dx.doi.org/10.7759/cureus.1465
http://www.cureus.com/articles/8007-not-a-common-rectosigmoid-perforation