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INTRAORAL SCANNERS AND CONVENTIONAL IMPRESSIONS: A LITERATURE REVIEW.
Georgian Med News
November 2024
2Private dental Clinic "Vurall Dent" Peja, Republic of Kosovo.
Introduction: Using digital technology, respectively the use of intraoral scanners has increased exponentially in recent years. Intraoral scanners have gained traction and widespread use in the field of dental prosthetics and orthodontics. While the use of these digital devices enables the detection of visible areas of error in order to allow clinicians to correct those areas immediately without a need of restarting the entire process from the beginning as it should be done in the conventional method and subsequent procedures.
View Article and Find Full Text PDFHome Treatment for Low-risk Pulmonary Embolism: Is it Happening?
J Community Hosp Intern Med Perspect
November 2024
Jamaica Hospital Medical Center, Queens, NY, USA.
Patients with pulmonary embolus (PE) can be stratified into low, intermediate, and high risk based on such factors as hemodynamics and the status of the right ventricle. Low risk patients who meet appropriate criteria can potentially be discharged home with oral anticoagulation, avoiding unnecessary hospitalization and associated complications and costs. However, limited data suggest early discharge of low-risk patients has not gained widespread traction.
View Article and Find Full Text PDFMapping the spatial transferability of knowledge-guided machine learning: Application to the prediction of drain flow fraction.
Sci Total Environ
January 2025
Geological Survey of Denmark and Greenland (GEUS), Department of Hydrology, Copenhagen, Denmark.
Machine learning (ML) methods continue to gain traction in hydrological sciences for predicting variables at large scales. Yet, the spatial transferability of these ML methods remains a critical yet underexamined aspect. We present a metamodel approach to obtain large-scale estimates of drain fraction at 10 m spatial resolution, using a ML algorithm (Gradient Boost Decision Tree).
View Article and Find Full Text PDFExploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review.
J Med Internet Res
December 2024
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Background: Wearable technologies have become increasingly prominent in health care. However, intricate machine learning and deep learning algorithms often lead to the development of "black box" models, which lack transparency and comprehensibility for medical professionals and end users. In this context, the integration of explainable artificial intelligence (XAI) has emerged as a crucial solution.
View Article and Find Full Text PDFExperimental Assessment of Traction Force and Associated Fetal Brain Deformation in Vacuum-Assisted Delivery.
Ann Biomed Eng
December 2024
Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden.
Vacuum-assisted delivery (VAD) uses a vacuum cup on the fetal scalp to apply traction during uterine contractions, assisting complicated vaginal deliveries. Despite its widespread use, VAD presents a higher risk of neonatal morbidity compared to natural vaginal delivery and biomechanical evidence for safe VAD traction forces is still limited. The aim of this study is to develop and assess the feasibility of an experimental VAD testing setup, and investigate the impact of traction forces on fetal brain deformation.
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