Michael Atalla

ORCID: 0009-0000-0663-2971
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Gastric Cancer Management and Outcomes
  • Gastrointestinal disorders and treatments
  • Esophageal and GI Pathology
  • Augmented Reality Applications
  • Colorectal Cancer Screening and Detection
  • Radiology practices and education
  • Ultrasound in Clinical Applications
  • Artificial Intelligence in Healthcare and Education
  • Abdominal Trauma and Injuries
  • Esophageal Cancer Research and Treatment
  • Gastrointestinal Tumor Research and Treatment
  • Lung Cancer Diagnosis and Treatment
  • AI in cancer detection

St. Michael's Hospital
2020-2023

University of Toronto
2020-2023

St. George's University
2023

University of Waterloo
2023

Introduction: Focused assessment with sonography for trauma (FAST) ultrasound (US) is a valuable medical examination used in settings, particularly rapid responses to events such as natural disasters. Although the efficacy and benefits of FAST patient care have been extensively studied, there limited research on training students FAST. Previous studies found that can proficiently perform US after two days training. However, these exclusively included first-year without considering variations...

10.7759/cureus.44414 article EN Cureus 2023-08-30

Abstract Background Polypectomy is an essential endoscopic skill. Training in polypectomy has been identified as a major deficiency for endoscopists worldwide occurs ad hoc during colonoscopy when polyp detected, and lack of standardized curricula. Augmented reality (AR), which superimposes computer-generated images on user’s view the world, can address these gaps by standardizing encounters with polyps while completing simulated procedures enabling polypectomy-specific teaching. Aims...

10.1093/jcag/gwz047.142 article EN cc-by-nc-nd Journal of the Canadian Association of Gastroenterology 2020-02-01

Abstract Background Magnification endoscopy and magnification narrow-band imaging are image enhanced technologies that may allow for the diagnosis of advanced neoplasia in GI tract on basis characteristics. Recently, Unified Magnifying Endoscopic Classification (UMEC) has been developed, which unified criteria esophagus, stomach, colon. UMEC divides optical into one three categories: non-neoplastic, intramucosal neoplasia, deep submucosal invasive cancer. Purpose The objective this study is...

10.1093/jcag/gwac036.114 article EN cc-by Journal of the Canadian Association of Gastroenterology 2023-03-01

Magnifying endoscopy enables the diagnosis of advanced neoplasia throughout gastrointestinal tract. The unified magnifying endoscopic classification (UMEC) framework unifies optical criteria in esophagus, stomach, and colon, dividing lesions into three categories: non-neoplastic, intramucosal neoplasia, deep submucosal invasive cancer. This study aims to ascertain performance North American endoscopists when using UMEC.

10.1093/jcag/gwad055 article EN cc-by Journal of the Canadian Association of Gastroenterology 2023-12-09
Coming Soon ...