Publications by authors named "M S El Hawary"
Purpose: Qualitative findings in Crohn's disease (CD) can be challenging to reliably report and quantify. We evaluated machine learning methodologies to both standardize the detection of common qualitative findings of ileal CD and determine finding spatial localization on CT enterography (CTE).
Materials And Methods: Subjects with ileal CD and a CTE from a single center retrospective study between 2016 and 2021 were included.
Over the past several years, there has been a trend of decreasing screening or diagnostic fluoroscopic examinations ordered by clinical teams, particularly double contrast gastrointestinal studies. The underlying reason is due to increasing number of endoscopic procedures performed by Gastroenterology and Urology and usage of other imaging modalities, which are either more sensitive and/or offer the ability to obtain tissue for confirmation. Many fluoroscopic studies are now tailored toward patients who have undergone gastrointestinal or genitourinary oncologic surgeries, providing both functional and anatomic information, which are important tools for patient management.
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- The study presents a machine learning and computer vision method for automatically scoring the severity of Crohn's disease in the small intestine, aiming to improve upon current manual assessment techniques in CT imaging.
- Two radiologists helped develop a severity score and used a hybrid model combining deep learning and Random Forest algorithms to analyze CT scans, achieving notable precision and accuracy in classifying disease severity.
- The proposed model showed promising results, with performance metrics comparable to those of experienced radiologists, providing a standardized way to assess Crohn's disease severity in a localized and repeatable manner.
Introduction: Assessing the cumulative degree of bowel injury in ileal Crohn's disease (CD) is difficult. We aimed to develop machine learning (ML) methodologies for automated estimation of cumulative ileal injury on computed tomography-enterography (CTE) to help predict future bowel surgery.
Methods: Adults with ileal CD using biologic therapy at a tertiary care center underwent ML analysis of CTE scans.
Cyclosporiasis is a ubiquitous infection caused by an obligate intracellular protozoan parasite known as Cyclospora cayetanensis (C. cayetanensis). The disease is characterized by severe diarrhea which may be regrettably fatal in immunosuppressed patients.
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