Download full-text PDF |
Source |
---|
Eur Heart J Cardiovasc Imaging
January 2025
Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Aim: Computed tomography (CT)-derived extracellular volume fraction (ECV) is a non-invasive method to quantify myocardial fibrosis. Evaluating CT-ECV during aortic valve replacement (AVR) planning CT in severe aortic stenosis (AS) may aid prognostic stratification. This meta-analysis evaluated the prognostic significance of CT-ECV in severe AS necessitating AVR.
View Article and Find Full Text PDFAm J Respir Crit Care Med
January 2025
University of Medicine and Pharmacy Carol Davila Bucharest, Bucuresti, Romania.
Rationale: Early detection, standardized therapy, adequate infrastructure and strategies for quality improvement should constitute essential components of every hospital's sepsis plan.
Objectives: To investigate the extent to which recommendations from the sepsis guidelines are implemented and the availability of infrastructure for the care of patients with sepsis in acute hospitals.
Methods: A multidisciplinary cross-sectional questionnaire was used to investigate sepsis care in hospitals.
Noise Health
January 2025
Associate Postgraduation Program UEL/UNOPAR, Curitiba, Paraná, Brazil.
Background: Tinnitus refers to a common disorder affecting older adults frequently. This condition can disturb mental health and psychological well-being and contribute to cognitive decline. Despite recent advances in research, its pathophysiology remains incompletely understood.
View Article and Find Full Text PDFJ Craniofac Surg
October 2024
Department of Biomedical and Surgical and Biomedical Sciences, Catania University, Catania, Italy.
Background: With the use of machine learning algorithms, artificial intelligence (AI) has become a viable diagnostic and treatment tool for oral cancer. AI can assess a variety of information, including histopathology slides and intraoral pictures.
Aim: The purpose of this systematic review is to evaluate the efficacy and accuracy of AI technology in the detection and diagnosis of oral cancer between 2020 and 2024.
J Clin Oncol
January 2025
Jefferson Einstein Medical Center, Sidney Kimmel Cancer Center of Thomas Jefferson University, Philadelphia, PA.
Purpose: To evaluate evidence on germline and somatic genomic testing for patients with metastatic prostate cancer and provide recommendations.
Methods: A systematic review by a multidisciplinary panel with patient representation was conducted. The PubMed database was searched from January 2018 to May 2024.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!