Publications by authors named "C A Ayala"

Article Synopsis
  • Innovation through process automation is improving performance in various fields, but recognizing details in images remains challenging due to variations and specific conditions.
  • Artificial intelligence simplifies this issue by using algorithms that detect specific pixels for image segmentation, utilizing modules like Efficient Sub-Pixel Convolutional Neural Networks and U-Net for effective capillary structure identification.
  • The developed model demonstrated strong performance across multiple datasets, achieving high metrics (PSNR of 37.92 and SSIM of 0.9219), and showcased its complexity in processing with varied execution times for its enhancement, segmentation, and masking modules.
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Objectives: Symptomatic carotid web is an increasingly recognized cause of acute ischemic stroke with a high risk of recurrent ischemic events despite aggressive medical interventions. Surgical interventions including transfemoral carotid artery stenting (TFCAS) and carotid endarterectomy have been described to reduce this risk, but transcarotid arterial revascularization (TCAR) has not been evaluated for this purpose.

Materials And Methods: Patients with cerebral ischemia from carotid web underwent TCAR with flow reversal.

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Introduction: The COVID-19 pandemic in Argentina has challenged health professionals to implement teleconsultation to maintain continuity of care.

Objectives: Describe the implementation of new technologies in teleconsultation by Nutrition professionals from Entre Ríos, from the beginning of the ASPO to the new normal.Methodology: Observational, descriptive, quantitative, and cross-sectional study, in which 72 Nutrition professionals from Entre Ríos, Argentina participated through a self-administered online questionnaire.

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A 51-year-old man with a medical history of recurrent anal carcinoma after chemoradiation underwent abdominoperineal resection in 2015. The patient presents with a bulging mass in the perineal zone, associated with pain. Physical examination and MRI during the workup reveal a large mass in the perineal region.

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Article Synopsis
  • The study investigates how social determinants of health (SDoH) like race, insurance, and income affect access to and outcomes of spine tumor surgeries, revealing disparities compared to intracranial tumor cases.
  • Data from over 6 million spine tumor admissions from 2002 to 2019 were analyzed, focusing on how these SDoH correlate with surgical outcomes such as mortality, complications, and length of stay.
  • Findings suggest non-White patients and those with nonprivate insurance faced lower chances of receiving surgery, worse presenting conditions, and poorer discharge outcomes, indicating significant health inequities in spine tumor treatment.
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