Results 301 to 310 of about 356,587 (360)

The Application of Artificial Intelligence‐Based Bone Marrow Cell Analysis System in Pediatric Hematological Diseases

International Journal of Laboratory Hematology, EarlyView.
ABSTRACT Introduction The clinical diagnosis of hematological diseases depends on the differential count of nucleated cells on the bone marrow (BM) smears, and an artificial intelligence (AI)‐based system was applied to automatically classify BM nucleated cells in pediatric hematological disease samples in this study.
Xin He, Fei He, Yan Wang, Yu Liu, Xiaopeng Gao, Mingrui Yu, Haiyan Gao   +6 more
wiley   +1 more source

The non-clinical burden of febrile seizures: a systematic review. [PDF]

Front Pediatr
Marangoni MB, Corsello A, Cozzi L, Agostoni C, Santangelo A, Milani GP, Dilena R.   +6 more
europepmc   +1 more source

Emergency clinicians' use of adult and paediatric sepsis pathways: An implementation redesign using the behaviour change wheel

Journal of Advanced Nursing, EarlyView.
Abstract Aims To identify facilitators and barriers and tailor implementation strategies to optimize emergency clinician's use of adult and paediatric sepsis pathways. Design A qualitative descriptive study using focus group methodology. Methods Twenty‐two emergency nurses and ten emergency medical officers from four Australian EDs participated in ...
Belinda Munroe, Michelle Hudoba, Mary Fullick, Tracey Couttie, Hughes Makoni, Ellie Butina, Niladri Ghosh, Ryan Kloger, Sharyn Balzer, Rebekkah Middleton   +9 more
wiley   +1 more source

GABRG2 mutations in genetic epilepsy with febrile seizures plus: structure, roles, and molecular genetics. [PDF]

J Transl Med
Li X, Guo S, Sun Y, Ding J, Chen C, Wu Y, Li P, Sun T, Wang X.   +8 more
europepmc   +1 more source

Nurse‐Assisted Remote Patient Monitoring for Self‐Management Support to Patients With Long‐Term Illness—A Qualitative Multimethod Study

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To explore patients and nurses' experiences of digital self‐management support following participation in a remote patient monitoring intervention. Design An exploratory qualitative multimethod study. Methods The study was conducted at two Norwegian university hospitals between January 2022 and February 2023.
Hege Wathne, Marianne Storm, Ingvild Margreta Morken, Anne Marie Lunde Husebø   +3 more
wiley   +1 more source

Anatomy of a Stalemate: Making Sense of the EU–UK Youth Mobility Controversy

JCMS: Journal of Common Market Studies, EarlyView.
Abstract This policy commentary explores the puzzling stalemate over a proposed Youth Mobility Scheme between the European Union (EU) and the United Kingdom (UK), offering a deep analysis of its emergence as a site of post‐Brexit contestation. Despite appearing as a low‐stakes, mutually advantageous initiative, youth mobility became mired in mutual ...
Monika Brusenbauch Meislová, Julie Elizabeth Smith, Ed Turner   +2 more
wiley   +1 more source

[Pre-hospital and hospital treatment of febrile seizures]. [PDF]

Rev Neurol
Trittler-Ugidos I, Paredes-Carmona F, Vidiella-Rico G, Visa-Reñé N.   +3 more
europepmc   +1 more source

Bayesian population‐based assessment of ascertainment bias in flea‐borne typhus surveillance in California, 2011–2019

Medical and Veterinary Entomology, EarlyView.
Although flea‐borne typhus is historically associated with poorer living conditions, FBT surveillance reporting is associated with greater socioeconomic advantage at the population level. FBT surveillance may be biased towards socioeconomic advantage in its ascertainment of surveillance data.
Kyle Yomogida, Anne Kjemtrup, Mireille Ibrahim, Zuelma Contreras, Van Ngo, Umme‐Aiman Halai, Sharon Balter, Matt Feaster, Matthew Zahn, Eric Shearer, Rochelle Sorvillo, Nora Balanji, Cindy Torres, Belinda Prado, Charsey Porse, Vicki Kramer, Beatriz Martínez‐López   +16 more
wiley   +1 more source

Risk factors and predictors of recurrence of febrile seizures in children in Nantong, China: a retrospective cohort study. [PDF]

BMC Pediatr
Shen F, Lu L, Wu Y, Suo G, Zheng Y, Zhong X, Wang X, Li H.   +7 more
europepmc   +1 more source

Automated identification of spotted‐fever tick vectors using convolutional neural networks

Medical and Veterinary Entomology, EarlyView.
We evaluate the performance of convolutional neural networks (CNN) AlexNet, ResNet‐50 and MobileNetV2 for the automated identification of tick species capable of transmitting spotted fever. CNNs achieved accuracy rates of ~90% in identifying ticks and showed sensitivities of 59%–100% according to species, sex, position or image resolution.
Isadora R. C. Gomes, Vinícius L. Miranda, José Fabrício C. Leal, Igor P. Oliveira, Paula J. Silva, Karla Bitencourth, Claudio M. Rodrigues, Liege R. Siqueira, Marcelo B. Labruna, Gilberto S. Gazeta, Marinete Amorim, Rodrigo Gurgel‐Gonçalves   +11 more
wiley   +1 more source