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Community Outreach in Breast Imaging: What Radiologists Can Do to Close the Gap for the Uninsured Population.
Radiographics
October 2023
From the Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, 6431 Fannin St, Suite 2.010, Houston, TX 77030.
After implementation of the Affordable Care Act in 2010, the uninsured population of the United States decreased significantly. As of 2022, there were approximately 26.4 million uninsured individuals in the United States.
View Article and Find Full Text PDFCochlear Implantation: Systematic Approach to Preoperative Radiologic Evaluation.
Radiographics
April 2023
From the Department of Radiology, Division of Neuroradiology (S.B.H., S.C.), and Department of Otolaryngology-Head and Neck Surgery (D.S.), University of Ottawa, The Ottawa Hospital, 1053 Carling Ave, Ottawa, ON, Canada K1Y 4E9; Division of Neuroradiology, Great Ormond Street Hospital for Children, London, England (A.B.); Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, ON, Canada (G.M., B.B.E.W., S.I.B.); and Department of Medical Imaging, University of Toronto, Toronto, ON, Canada (S.B.H., G.M., B.B.E.W., S.I.B.).
Sensorineural hearing loss results from abnormalities that affect the hair cells of the membranous labyrinth, inner ear malformations, and conditions affecting the auditory pathway from the cochlear nerve to the processing centers of the brain. Cochlear implantation is increasingly being performed for hearing rehabilitation owing to expanding indications and a growing number of children and adults with sensorineural hearing loss. An adequate understanding of the temporal bone anatomy and diseases that affect the inner ear is paramount for alerting the operating surgeon about variants and imaging findings that can influence the surgical technique, affect the choice of cochlear implant and electrode type, and help avoid inadvertent complications.
View Article and Find Full Text PDFAssessment of expertise in morphological identification of mosquito species (Diptera, Culicidae) using photomicrographs.
Parasite
October 2022
MIVEGEC Unit, Montpellier Univ., IRD, CNRS, Montpellier, France.
Accurate identification of insect species is an indispensable and challenging requirement for every entomologist, particularly if the species is involved in disease outbreaks. The European MediLabSecure project designed an identification (ID) exercise available to any willing participant with the aim of assessing and improving knowledge in mosquito taxonomy. The exercise was based on high-definition photomicrographs of mosquitoes (26 adult females and 12 larvae) collected from the western Palaearctic.
View Article and Find Full Text PDFMachine Learning Techniques Differentiate Alcohol-Associated Hepatitis From Acute Cholangitis in Patients With Systemic Inflammation and Elevated Liver Enzymes.
Mayo Clin Proc
July 2022
Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN. Electronic address:
Objective: To develop machine learning algorithms (MLAs) that can differentiate patients with acute cholangitis (AC) and alcohol-associated hepatitis (AH) using simple laboratory variables.
Methods: A study was conducted of 459 adult patients admitted to Mayo Clinic, Rochester, with AH (n=265) or AC (n=194) from January 1, 2010, to December 31, 2019. Ten laboratory variables (white blood cell count, hemoglobin, mean corpuscular volume, platelet count, aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, total bilirubin, direct bilirubin, albumin) were collected as input variables.
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