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Articles 1 - 3 of 3
Full-Text Articles in Stomatognathic Diseases
Woman With A Lump Under Her Tongue, Rachel Sealby, Steven Goodfriend, Martin Wegman
Woman With A Lump Under Her Tongue, Rachel Sealby, Steven Goodfriend, Martin Wegman
South Atlantic Division GME Research Day 2024
No abstract provided.
Handheld Bedside Pocus In The Evaluation Of Neck Swelling: A Case Of Ludwig's Angina, Alex Gechlik, Frank Wheeler, James Espinosa, Alan Lucerna, Henry Schuitema
Handheld Bedside Pocus In The Evaluation Of Neck Swelling: A Case Of Ludwig's Angina, Alex Gechlik, Frank Wheeler, James Espinosa, Alan Lucerna, Henry Schuitema
Rowan-Virtua Research Day
Ludwig's angina is a rare and life threatening cellulitic infection, first described by German physician, Wilhelm Frederick Von Ludwig in 1836, as a gangrenous infection of the soft tissue floor of the mouth and neck. The potential to spread rapidly to contiguous tissues surrounding the upper airways, notably the glottis, resulted in Ludwig's angina carrying a high mortality rate near 50% in the pre- antibiotic era. It necessitates rapid detection and management to assure respiratory compromise does not occur. This case study is novel as it illustrates handheld bedside POCUS utilization in diagnosing Ludwig’s Angina.
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. …