Results 61 to 70 of about 26,010 (236)

The impact of the Trauma Triage App on pre-hospital trauma triage: design and protocol of the stepped-wedge, cluster-randomized TESLA trial

Diagnostic and Prognostic Research, 2020
Background Field triage of trauma patients is crucial to get the right patient to the right hospital within a particular time frame. Minimization of undertriage, overtriage, and interhospital transfer rates could substantially reduce mortality rates ...
Rogier van der Sluijs, Audrey A. A. Fiddelers, Job F. Waalwijk, Johannes B. Reitsma, Miranda J. Dirx, Dennis den Hartog, Silvia M. A. A. Evers, J. Carel Goslings, W. Margreet Hoogeveen, Koen W. Lansink, Luke P. H. Leenen, Mark van Heijl, Martijn Poeze   +12 more
doaj   +1 more source

DinoFlow: Self‐supervised pretraining in flow cytometry enables accurate detection of common hematopathological disorders

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Flow cytometry is an essential component of routine hematological lab testing. Many computational methods have been proposed for the analysis of flow cytometry data, but most have focused on supervised learning for just one or a few specific disorders.
Brendan O'Fallon, Muir Morrison, Mattia Medina Grespan, Nicholas C. Spies, David P. Ng   +4 more
wiley   +1 more source

Digital Dental Triage and Access to Care: A Qualitative Study of Experiences in a Teaching Hospital

Dentistry Journal
Background/Objectives: Digital triage systems are increasingly used in dentistry to support patient access and improve service efficiency, particularly in academic and public healthcare settings.
Alaa Husni Qari, Ola Abdullah Sheiko, Mohammed Saed Althagafi, Wael Yaghmoor, Rayan Sharka   +4 more
doaj   +1 more source

Automated B‐cell and plasma cell identification using unsupervised clustering by FlowSOM and an excel‐based classification model

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Manual gating for plasma cell (PC) identification in multiparametric flow cytometry (MFC) is time‐consuming and operator‐dependent, especially when PCs are scarce. Artificial intelligence approaches such as unsupervised clustering (e.g., FlowSOM) map high‐dimensional data that still require expert interpretation.
Ethan James Gantana, Ernest Musekwa, Erica‐Mari Nell, Zivanai Cuthbert Chapanduka   +3 more
wiley   +1 more source

Digitalisation of information and management optimisation in Multiple Victim Incidents. Analytical study.

PLoS ONE
IntroductionTriage is a crucial tool for managing a Multiple Victim Incident (MVI). One particularly problematic issue is the communication of results to the chain of command and control.
Navid Behzadi Koochnai, Raúl Muñoz Romo, Nicolás Riera López, Rafael Caballero Cubedo, Soledad Gómez de la Oliva, Teresa Martin de Rosales Cabrera, Almudena Castaño Reguillo   +6 more
doaj   +1 more source

A Review of Artificial Intelligence in Ophthalmology: Key Aspects, Challenges, and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly reshaping ophthalmology because the specialty depends heavily on structured imaging, quantitative measurements, and repeatable diagnostic workflows. This review provides a clinically grounded and translationally oriented synthesis of AI in ophthalmology, covering methodological foundations ...
Partha Pratim Ray
wiley   +1 more source

Implementing the Automated Phases of the Partially-Automated Digital Triage Process Model

Journal of Digital Forensics, Security and Law, 2012
Digital triage is a pre-digital-forensic phase that sometimes takes place as a way of gathering quick intelligence. Although effort has been undertaken to model the digital forensics process, little has been done to date to model digital triage. This work discuses the further development of a model that does attempt to address digital triage the ...
Gary D Cantrell, David Dampier
openaire   +3 more sources

The role of cardiac acoustic biomarkers in monitoring patients with heart failure: A systematic literature review

ESC Heart Failure, Volume 12, Issue 2, Page 980-997, April 2025.
Abstract Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF.
Javed Butler, Malcolm Brown, Philippe Prokocimer, Ashley C. Humphries, Sophie Pope, Olivia Wright, Jun Su, Osama Elnawasany, Bogdan Muresan   +8 more
wiley   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Evidence for Digital Health Tools Designed to Support the Triage of Musculoskeletal Conditions in Primary, Urgent, and Emergency Care Settings: Scoping Review

Journal of Medical Internet Research
BackgroundThe digital health research field is growing rapidly, and a summary of the available digital tools for triaging musculoskeletal conditions is needed.
Linda K Truong, James G Wrightson, Raphaël Vincent, Eunice Lui, Jamon L Couch, Ellen Wang, Cobie Starcevich, Dean Giustini, Alex Haagaard, Elena Lopatina, Niels van Berkel, Michael Skovdal Rathleff, Clare L Ardern   +12 more
doaj   +1 more source