Results 211 to 220 of about 28,509 (291)

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

open access: yesEpilepsia, 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   +7 more
wiley   +1 more source

Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks

open access: yesEpilepsia, EarlyView.
Abstract Objective Drug‐resistant epilepsy (DRE) affects approximately one‐third of patients with epilepsy. The molecular heterogeneity underlying DRE remains poorly defined, largely due to limited access to resected brain tissue and substantial genetic diversity.
Yanping Weng   +11 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

open access: yesEpilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus   +7 more
wiley   +1 more source

Investigation of the Dynamic Evolution Mechanism of Bed Separation in Karst Aquifers and Risk Assessment of Water Inrush

open access: yesEnergy Science &Engineering, EarlyView.
This study reveals the temporal and spatial evolution law of roof separation under the karst aquifer and the dynamic water inrush mechanism of roof separation. The FAHP–EWM–CRITIC combination weighting method was established to obtain the risk zoning of bed separation water inrush in a karst landform mining area. ABSTRACT Coalfields in northern Guizhou
Xilong Zhu   +5 more
wiley   +1 more source

A Hybrid Fuzzy–Support Vector Machine Framework for Real‐Time Dust Detection and Thermal Mapping in Photovoltaic Panels

open access: yesEnergy Science &Engineering, EarlyView.
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker   +4 more
wiley   +1 more source

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