Browsing by Author "Shrestha, Bibek"
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Publication Central Venous Catheter-related Thrombosis in a Dialysis Patient: A Case Report(Nepal Medical Association, 2022) Regmi, Sachit; Manandhar, Dilasha; Pyakurel, Sulav; Shrestha, Bibek; Khanal, Pitamber; Paudel, Sandip; Gyawali, PawanAbstract Hemodialysis is one of the treatment modalities for advanced kidney disease and can help an individual live an active life despite failing kidneys. Although it improves the quality of life, it is not completely risk-free. It has several complications, among which, thrombus formation is common. We report a case of a 63-year-old man who presented at our institution for regular hemodialysis with recurrent arteriovenous graft failure. Because doppler ultrasound is a non-invasive procedure that can identify a thrombus in a vein, it is the best initial option for patients with internal jugular vein thrombosis. The use of ultrasound not only can guide a catheter pathway but can also help in early diagnosis and prevent complications following catheterization in a vein with a thrombus.Publication Current Status and Future Potential of Machine Learning in Diagnostic Imaging of Endometriosis : A Literature Review(Nepal Medical Association, 2025) Shrestha, Palpasa; Shrestha, Bibek; Shrestha, Jati; Chen, JunAbstract The presence of endometrial tissue outside the uterus is a defining characteristic of endometriosis, a chronic systemic illness that affects women of childbearing age. Despite its enigmatic nature, laparoscopy remains the gold standard for diagnosis, while noninvasive methods such as transvaginal ultrasonography and magnetic resonance imaging are commonly used to aid in preoperative planning. In healthcare, AI has emerged as a game-changing innovation, enhancing patient outcomes, reducing costs, and revolutionizing healthcare delivery, particularly in diagnostic radiology. Images can be analyzed using machine learning, a pattern recognition method. The machine learning algorithm first computes the image characteristics deemed significant for making predictions or diagnoses about unseen images.