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Full-Text Articles in Stomatognathic Diseases
Diagnostic Accuracy Of Artificial Intelligence For Detecting Gastrointestinal Luminal Pathologies: A Systematic Review And Meta-Analysis, Om Parkash, Asra Tus Saleha Siddiqui, Uswa Jiwani, Fahad Rind, Zahra Ali Padhani, Arjumand Rizvi, Zahra Hoodbhoy, Jai K. Das
Diagnostic Accuracy Of Artificial Intelligence For Detecting Gastrointestinal Luminal Pathologies: A Systematic Review And Meta-Analysis, Om Parkash, Asra Tus Saleha Siddiqui, Uswa Jiwani, Fahad Rind, Zahra Ali Padhani, Arjumand Rizvi, Zahra Hoodbhoy, Jai K. Das
Section of Gastroenterology
Background: Artificial Intelligence (AI) holds considerable promise for diagnostics in the field of gastroenterology. This systematic review and meta-analysis aims to assess the diagnostic accuracy of AI models compared with the gold standard of experts and histopathology for the diagnosis of various gastrointestinal (GI) luminal pathologies including polyps, neoplasms, and inflammatory bowel disease.
Methods: We searched PubMed, CINAHL, Wiley Cochrane Library, and Web of Science electronic databases to identify studies assessing the diagnostic performance of AI models for GI luminal pathologies. We extracted binary diagnostic accuracy data and constructed contingency tables to derive the outcomes of interest: sensitivity and specificity. …
Incidence Of Typhoid And Paratyphoid Fever In Bangladesh, Nepal, And Pakistan: Results Of The Surveillance For Enteric Fever In Asia Project, Mohammad Tahir Yousafzai, Sadia Shakoor, Irum Fatima Dehraj, Junaid Mehmood, Rozina Thobani, Aneeta Hotwani, Najeeb Rehman, Seema Irfan, Abdul Momin Kazi, Mohammed J. Hunzai, Farah Qamar
Incidence Of Typhoid And Paratyphoid Fever In Bangladesh, Nepal, And Pakistan: Results Of The Surveillance For Enteric Fever In Asia Project, Mohammad Tahir Yousafzai, Sadia Shakoor, Irum Fatima Dehraj, Junaid Mehmood, Rozina Thobani, Aneeta Hotwani, Najeeb Rehman, Seema Irfan, Abdul Momin Kazi, Mohammed J. Hunzai, Farah Qamar
Department of Paediatrics and Child Health
Background: Precise enteric fever disease burden data are needed to inform prevention and control measures, including the use of newly available typhoid vaccines. We established the Surveillance for Enteric Fever in Asia Project (SEAP) to inform these strategies.
Methods: From September, 2016, to September, 2019, we conducted prospective clinical surveillance for Salmonella enterica serotype Typhi (S Typhi) and Paratyphi (S Paratyphi) A, B, and C at health facilities in predetermined catchment areas in Dhaka, Bangladesh; Kathmandu and Kavrepalanchok, Nepal; and Karachi, Pakistan. Patients eligible for inclusion were outpatients with 3 or more consecutive days of fever in the last 7 …
An Updated Patient-Centered Sialadenitis Instrument: The Obstructive Salivary Problem Impact Test (Spit), Arushi Gulati, David M. Cognetti, David S. Cohen, M. Allison Ogden, Barry M. Schaitkin, Rohan R. Walvekar, William R. Ryan, Jolie L. Chang
An Updated Patient-Centered Sialadenitis Instrument: The Obstructive Salivary Problem Impact Test (Spit), Arushi Gulati, David M. Cognetti, David S. Cohen, M. Allison Ogden, Barry M. Schaitkin, Rohan R. Walvekar, William R. Ryan, Jolie L. Chang
School of Medicine Faculty Publications
Objective: The Chronic Obstructive Sialadenitis Symptoms questionnaire (COSS) was created to assess chronic sialadenitis symptoms and treatment response, but its development lacked patient input and validation. We analyzed COSS responses and feedback from sialadenitis patients and physician experts to create the novel obstructive Salivary Problem Impact Test (SPIT), a new standardized measure of sialadenitis-associated symptoms. Methods: We analyzed COSS responses via exploratory factor analysis (EFA) to identify essential symptom domains and reduce overlap in questions. Sialadenitis patients evaluated the significance of index symptoms identified from the literature review. Expert physicians rated symptom relevance in clinical assessment. An updated questionnaire (SPIT) …