Department of Human Pathology of Adults and Developmental Age, University of Messina, 98100 Messina, Italy.
Published: October 2024
AI Article Synopsis
Article Abstract
Augmented reality (AR) enhances sensory perception by adding extra information, improving anatomical localization and simplifying treatment views. In dentistry, digital planning on bidimensional screens lacks real-time feedback, leading to potential errors. However, it is not clear if AR can improve the clinical treatment precision. The aim of this research is to evaluate if the use of AR-based instruments could improve dental procedure precision. This review covered studies from January 2018 to June 2023, focusing on AR in dentistry. The PICO question was "Does AR increase the precision of dental interventions compared to non-AR techniques?". The systematic review was carried out on electronic databases, including Ovid MEDLINE, PubMed, and the Web of Science, with the following inclusion criteria: studies comparing the variation in the precision of interventions carried out with AR instruments and non-AR techniques. Thirteen studies were included. The results of this systematic review demonstrate that AR enhances the precision of various dental procedures. The authors advise clinicians to use AR-based tools in order to improve the precision of their therapies.
Introduction: Nurses' well-being at work (WAW) is important for overall health care outcomes. Nurses often navigate complex roles, contending with time constraints, ethical challenges and societal undervaluation, underscoring the necessity of addressing their WAW.
Methods: The aim of this systematic review was to analyse the interventions that potentially improve nurses' WAW in care settings for older people.
Background: Laparoscopic sleeve gastrectomy (LSG) specimens are histologically analyzed to identify incidental pathologies. However, no guidelines recommend routine histology. This study evaluates the clinical utility of LSG sample analysis and if incidental diagnoses have a significant clinical impact.
Purpose: To evaluate the diagnostic ability and methodological quality of ML models in detecting Pancreatic Ductal Adenocarcinoma (PDAC) in Contrast CT images.
Method: Included studies assessed adults diagnosed with PDAC, confirmed by histopathology. Metrics of tests were interpreted by ML algorithms.
Objective: Despite certain studies indicating hearing impairments in individuals with polycystic ovary syndrome (PCOS), the correlation between PCOS and sensorineural hearing loss (SNHL) remains inconclusive. This study aimed to investigate the association between PCOS and SNHL.
Data Sources: A systematic literature search was conducted using PubMed, MEDLINE, EMBASE, and the Cochrane Library from inception to June 24, 2024.
Polycystic ovary syndrome (PCOS), a major cause of female infertility, affects 4%-20% of reproductive-age women. Metabolic and hormonal alterations are key features of PCOS, potentially raising the risk of endometrial (EC) and ovarian (OVCA) cancers. This systematic review aims to summarise the proposed molecular mechanisms involved in the association between PCOS and EC or OVCA.
