Download full-text PDF |
Source |
---|
J Med Internet Res
January 2025
Department of Health Services Research Management, AI and Digital Health Lab (Centre for Healthcare Innovation Research), City St George's University, London, United Kingdom.
User trust is pivotal for the adoption of digital health systems interventions (DHI). In response, numerous trust-building guidelines have recently emerged targeting DHIs such as artificial intelligence. The common aim of these guidelines aimed at private sector actors and government policy makers is to build trustworthy DHI.
View Article and Find Full Text PDFCad Saude Publica
January 2025
Secretaria de Saúde do Distrito Federal, Brasília, Brasil.
This study aimed to describe the severity of abortion-related complications, factors associated with complications, the types of management and the experience of care in Brazil. A cross-sectional study in twenty hospitals (10 in Federal District, 3 in Rondônia and 7 in Maranhão). For 3 months, all women treated for abortion/miscarriage had their data collected.
View Article and Find Full Text PDFSci Adv
January 2025
Center for Coastal Climate Resilience, University of California Santa Cruz, Santa Cruz, CA 95060, USA.
Coral reefs can mitigate flood damages by providing protection to tropical coastal communities whose populations are dense, growing fast, and have predominantly lower-middle income. This study provides the first fine-scale, regionally modeled valuations of how flood risk reductions associated with hybrid coral reef restoration could benefit people, property, and economic activity along Florida and Puerto Rico's 1005 kilometers of reef-lined coasts. Restoration of up to 20% of the regions' coral reefs could provide flood reduction benefits greater than costs.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Operation and Economics of Transport and Communications, Department of Economics, University of Zilina, Zilina, Slovakia.
The online environment has its own specifics, which shape the specific behavior of all market subjects, both customers and companies that trade electronically. The aim of the paper is to create, quantify and verify a conceptual comprehensive model of relationships between determinants that influence consumers when shopping online. The impetus for the conducted research was the discovery of the non-existence of a comprehensive model of online shopping behavior that reflects the specifics of the online environment.
View Article and Find Full Text PDFPLoS One
January 2025
Division of Biological Sciences, US Fish and Wildlife Southwest Regional Office, Albuquerque, New Mexico, United States of America.
There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. However, even skilled observers may diverge in interpreting aerial imagery of complex environments, which may result in downstream instability of models. In this study, we present a framework for assessing annotation reliability by calculating agreement metrics for individual observers against an aggregated set of annotations generated by clustering multiple observers' observations and selecting the mode classification.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!