Time to Start Describing Fibrotic Interstitial Lung Abnormalities in the Chest CT Report.

Radiology

From the Center for Pulmonary Functional Imaging and Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02215 (H.H.); and Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, Osaka, Japan (A.H.).

Published: February 2023

Download full-text PDF

Source
http://dx.doi.org/10.1148/radiol.222274DOI Listing

Publication Analysis

Top Keywords

time start
4
start describing
4
describing fibrotic
4
fibrotic interstitial
4
interstitial lung
4
lung abnormalities
4
abnormalities chest
4
chest report
4
time
1
describing
1

Similar Publications

Random walks on scale-free flowers with stochastic resetting.

Chaos

January 2025

School of Mathematical Science, Jiangsu University, Zhenjiang, Jiangsu 212013, China.

This study explores the impact of stochastic resetting on the random walk dynamics within scale-free (u,v)-flowers. Utilizing the generating function technique, we develop a recursive relationship for the generating function of the first passage time and establish a connection between the mean first passage time with and without resetting. Our investigation spans multiple scenarios, with the random walker starting from various positions and aiming to reach different target nodes, allowing us to identify the optimal resetting probability that minimizes the mean first passage time for each case.

View Article and Find Full Text PDF

Background: Dementia leads to cognitive decline affecting memory, thinking, and behavior. Current pharmaceutical treatments are symptomatic, with limited efficacy and significant drawbacks. Ginkgo biloba extract (EGb761) is being explored as an adjuvant therapy for dementia because of its potential neuroprotective effects.

View Article and Find Full Text PDF

An Ontology-Based Approach for Understanding Appendicectomy Processes and Associated Resources.

Healthcare (Basel)

December 2024

Centre for Digital Transformation, School of Computing and Information Technology, University of Wollongong, Wollongong, NSW 2522, Australia.

Background: Traditional methods for analysing surgical processes often fall short in capturing the intricate interconnectedness between clinical procedures, their execution sequences, and associated resources such as hospital infrastructure, staff, and protocols.

Aim: This study addresses this gap by developing an ontology for appendicectomy, a computational model that comprehensively represents appendicectomy processes and their resource dependencies to support informed decision making and optimise appendicectomy healthcare delivery.

Methods: The ontology was developed using the NeON methodology, drawing knowledge from existing ontologies, scholarly literature, and de-identified patient data from local hospitals.

View Article and Find Full Text PDF

Development and evaluation of a free e-learning program on dementia risk reduction for the general public: A pre-post study.

J Alzheimers Dis

January 2025

Alzheimer Centrum Limburg, Mental Health and Neuroscience Research Institute (MHeNs), Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands.

Background: There is consistent evidence for the contribution of modifiable risk factors to dementia risk, offering opportunities for primary prevention. Yet, most individuals are unaware of these opportunities.

Objective: To investigate whether online education about dementia risk reduction may be a low-level means to increase knowledge and support self-management of modifiable dementia risk factors.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!