Results 111 to 120 of about 9,688,169 (280)

EEG recordings during visuo‐attentive task reduce sex bias in Alzheimer's disease diagnosis

Alzheimer’s & Dementia: Translational Research & Clinical Interventions
INTRODUCTION Pathological cognitive decline affects roughly 15% of older adults, presenting relevant sex differences, being a stronger predictor of Alzheimer's disease in females.
Lorenzo Gaetano Amato, Michael Lassi, Antonello Grippo, Valentina Moschini, Giulia Giacomucci, Sonia Padiglioni, Carmen Morinelli, Benedetta Nacmias, Alberto Mazzoni, Valentina Bessi, Alberto Arturo Vergani   +10 more
doaj   +1 more source

Exploring developmental trajectories of analogical reasoning in preschool children: A cognitive diagnostic approach enhanced by IoT technology

Acta Psychologica
This study examines the developmental characteristics of analogical reasoning in preschool children, utilizing Cognitive Diagnostic Models (CDMs) and innovative Internet of Things (IoT) technology to enhance assessment accuracy and efficiency ...
Xue Lv, Li Li, Liping Guo, Xuecheng Zou, Ting He, Yaqin Xi   +5 more
doaj   +1 more source

Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons, Nuria Guillen, Jordi Sarto, Neus Falgàs, Sergi Borrego‐Écija, Diana Esteller‐Gauxax, Magda Castellví, Adrià Tort‐Merino, Agnès Pérez‐Millan, Anna Antonell, Josep M. Augè Fradera, Gerard Piñol, Iolanda Riba, Anna Carnes‐Vendrell, Marta Cullell, Maria Teresa Osuna, Lorena Bajo, Teresa Romero, Eva Bonjoch, Joan Bello, Susana Fernández, Marta Balagué, Isabel Gómez‐Ruiz, Anuncia Boltes, Claustre Pont, Raquel Cuevas, Sara Carrillo, Laura Iglesias, Teresa Maria Casadevall Codina, Lorena Grau Guinea, Fernando Jose Espada, Raquel Sánchez‐Valle, Mircea Balasa, Albert Lladó   +33 more
wiley   +1 more source

Emulating clinician-assigned diagnostic patterns of Alzheimer's disease in a tertiary neurology hospital using interpretable Bayesian machine learning

Journal of Alzheimer's Disease Reports
Background Accurate differentiation of Alzheimer's disease (AD) from other causes of cognitive impairment remains a major challenge, particularly in low- and middle-income countries where access to advanced biomarkers such as positron emission tomography
Ehsan Ahmed, Azizur Rahman, Abdullah Yusuf, Mohammad Sayeed Hassan, Adneen Moureen, Mohammad Nur Uddin, Maliha Hakim   +6 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Properties and performance of the one-parameter log-linear cognitive diagnosis model

Frontiers in Education
Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive
Lientje Maas, Matthew J. Madison, Matthieu J. S. Brinkhuis   +2 more
doaj   +1 more source

Acute Kidney Injury After Mechanical Thrombectomy for Stroke in Patients With Pre‐Existing Renal Impairment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk, Marcel Pilarek, Emilia Jaworska, Natalia Kardas, Oliwia Barnaś, Julia Woźniak, Iga Machała, Julia Węgrzynek‐Gallina, Joanna Siuda, Anna Hawrot‐Kawecka, Anetta Lasek‐Bal   +10 more
wiley   +1 more source

AI-assisted human clinical reasoning in the ICU: beyond “to err is human”

Frontiers in Artificial Intelligence
Diagnostic errors pose a significant public health challenge, affecting nearly 800,000 Americans annually, with even higher rates globally. In the ICU, these errors are particularly prevalent, leading to substantial morbidity and mortality.
Khalil El Gharib, Bakr Jundi, David Furfaro, Raja-Elie E. Abdulnour   +3 more
doaj   +1 more source

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng, Diego Z. Carvalho, Shahid Karim, Anwar Chahal, Virend K. Somers   +4 more
wiley   +1 more source

INTEGRATION OF HETEROGENEOUS KNOWLEDGE IN INTELLECTUAL INFORMATION SYSTEMS BASED ON MULTI-AGENT SIMULATION

Открытое образование (Москва), 2016
The article considers the problem of creating a multi-agent models integrating heterogeneous prior knowledge about the subject of research in order to ensure the possibility of combining the analytical information from different domains in intellectual ...
Yury A. Kravchenko, Markov V. Vladimir
doaj   +1 more source