Publications by authors named "S M Haider"

Aim This study aims to evaluate the safety and efficacy of transjugular intrahepatic portosystemic shunt (TIPS) check and revision procedures performed in a freestanding interventional radiology (IR) outpatient facility. Methodology A total of 40 patients (male 31:female 9, median age 60 years old) underwent a TIPS check and/or revision at a freestanding IR outpatient facility between 2009 and 2017. Procedures were performed using a mobile C-arm unit under intravenous (IV) moderate sedation, with the patient discharged home on the same day.

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Postpartum care, including contraception, benefits maternal health and decreases mortality, which increased in the United States with COVID-19. Pandemic disruptions to postpartum health care access in vulnerable populations are not well understood. We utilize electronic health record (EHR) data for prenatal patients ( = 2,265) at six urban Federally Qualified Health Centers (FQHCs) from one year prepandemic (January 1, 2019) through one year after the first stay-at-home orders ("lockdown") (March 31, 2021).

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Background: Adults with congenital heart disease (ACHD) have an increased risk of infective endocarditis (IE), associated with significant morbidity and mortality. This risk is compounded by patient-related factors, including lack of awareness of IE and the presence of a learning disability (LD). Our study sought to evaluate patients' understanding of the risks and symptoms of IE and to identify patients who could benefit from targeted education.

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Introduction And Importance: Trichobezor is a mass of accumulated ingested hair in the gastric lumen. Rapunzel syndrome is an extension of these bezoars beyond the pylorus. The formation of trichobezoar is invariably linked to trichotillomania and trichophagia.

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Introduction: As artificial intelligence (AI) continues to permeate various sectors, concerns about disparities arising from its deployment have surfaced. AI's effectiveness correlates not only with the algorithm's quality but also with its training data's integrity. This systematic review investigates the racial disparities perpetuated by AI systems across diverse medical domains and the implications of deploying them, particularly in healthcare.

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