Results 141 to 150 of about 3,392,388 (248)

AI-enabled defect detection in industrial products: A comprehensive survey, key insights and future research challenges

Artificial Intelligence (AI) techniques, especially Machine Learning (ML) and Deep Learning (DL), are increasingly used for automated defect inspection in industries like metals, ceramics, glass, and textiles. These methods process high-quality images to
Nahar, L, Awrangjeb, M, Islam, MS
core   +1 more source

Quantum-enhanced deep learning models for automated defect detection in materials. [PDF]

Front Artif Intell
Garg A, Sushibine S, Choudhuri D, Anand S, Vijitha P H, Vinita L J, A K P, Mishra V, Stephan T.   +8 more
europepmc   +1 more source

The Price of Precision: A Critical Review of Molecular Diagnostics in Glioma, From Guidelines to Global Disparities

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley   +1 more source

TIG welding defect detection using ResNet and Random Forest. [PDF]

PLoS One
Quang Huy V, Minh Thuan V, Van Huong H, The Uyen TM, Nguyen VT, Son Minh P.   +5 more
europepmc   +1 more source

Autoimmune Comorbidities as Modifiers of Phenotypic Heterogeneity in Facioscapulohumeral Dystrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral dystrophy type 1 (FSHD1) shows clinical heterogeneity that is only partly explained by D4Z4 repeat unit (RU) size. Although immune and inflammatory mechanisms may contribute to disease variability, the prevalence and clinical impact of autoimmune diseases in FSHD remain unclear.
Jonathan Pini, Giulia Tammam, Andra Ezaru, Manuela Gambella, Benoît Sanson, Luisa Villa, Michele Cavalli, Mihai‐Bogdan Ioncea, Angela Puma, Sabrina Sacconi   +9 more
wiley   +1 more source

Fabric defect detection using fine-tuned Yolo-12. [PDF]

PLoS One
Ahmad W, Ashraf R, Mahmood T, Hussain T, Abid MH.   +4 more
europepmc   +1 more source

A Novel KCNA1 Variant in a Patient With Tremor and Autism Spectrum Disorder Causes Mixed LOF/GOF Defects of Kv1.1 Channels

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Variants in KCNA1, encoding the Kv1.1 potassium channel, cause neurological disorders including episodic ataxia and developmental and epileptic encephalopathy. We identified a novel KCNA1 variant (A401T) in a 16‐year‐old patient with autism spectrum disorder, borderline intellectual disability, and tremor, without episodic ataxia or epilepsy ...
Juan Darío Ortigoza‐Escobar, Laura Marti‐Sánchez, Loreto Martorell, Giorgia Dinoi, Antonio Vittorio Buono, Annamaria De Luca, Antonella Liantonio, Paola Imbrici   +7 more
wiley   +1 more source

EMamba: A MoE-enhanced state space network for robust steel surface defect detection. [PDF]

PLoS One
Yang H, Wang P, Liu Y.
europepmc   +1 more source

The Gut–Heart Axis in Systemic Sclerosis: Evidence From a Large Prospective Early Disease Cohort

Arthritis Care &Research, EarlyView.
Objective Cardiac involvement significantly impacts prognosis in systemic sclerosis (SSc), highlighting the need for early risk stratification. Gastrointestinal (GI) symptoms are common and often manifest early. Emerging data suggest a link between GI and cardiac manifestations, possibly through shared mechanisms like dysautonomia.
Francesca R. Di Ciommo, Ashish P. Balar, Aidan K. Strother, Subhash Kulkarni, Michael Hughes, Brian Skaug, Maureen D. Mayes, Shervin Assassi, Ali Y. Ayla, Zsuzsanna H. McMahan   +9 more
wiley   +1 more source

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki, Alireza Amindarolzarbi, Tsion Abdi, John Clarke, Michael Hughes, Ami A. Shah, Zsuzsanna H. McMahan   +6 more
wiley   +1 more source