Results 171 to 180 of about 22,138 (232)

A Deep Learning Model for IMMP-Based Residual Disease Monitoring in AML with Monocytic Differentiation. [PDF]

open access: yesDiagnostics (Basel)
Ding J   +8 more
europepmc   +1 more source

Individual‐specific resting‐state networks predict language dominance in drug‐resistant epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective This study was undertaken to reliably estimate individual‐specific resting‐state cortical networks and determine whether language network topography can predict task‐based language dominance in drug‐resistant epilepsy. Methods We utilized a multisession hierarchical Bayesian model (MS‐HBM) trained on drug‐resistant epilepsy patients ...
Mervyn Jun Rui Lim   +7 more
wiley   +1 more source

Addressing the Challenges in the Identification of HER2-Low and Ultralow Breast Cancer in Asia: A Delphi Consensus. [PDF]

open access: yesAdv Ther
Shah M   +14 more
europepmc   +1 more source

Spike detection in the wild: Screening of suspected temporal lobe epilepsy cases using a tailored 2‐channel wearable EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Objective To clinically validate the contribution of a custom‐built EEG wearable device (waEEG) compared to a full 10–20 electrode array ambulatory EEG (aEEG) for screening epilepsy cases in patients with suspected temporal lobe epilepsy (TLE) but negative routine EEGs. Methods Patients (aged 16–91 years) with clinically suspected TLE who were
Daniel Filipe Borges   +4 more
wiley   +1 more source

Real world testing and cost‐effectiveness analysis of subcutaneous EEG (REAL‐ASE): Protocol for a prospective multicentre interventional trial

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Epilepsy is a common condition associated with significant morbidity, mortality, and costs. Poor documentation of seizures is a major challenge in epilepsy care. Objective seizure counting with mobile devices may mitigate this challenge and improve patient management.
Matthew McWilliam   +8 more
wiley   +1 more source

Ambient technology in epilepsy clinical practice

open access: yesEpilepsia Open, EarlyView.
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan   +3 more
wiley   +1 more source

Evaluating the impact of an AI‐powered chatbot on epilepsy education and stigma reduction: A pre‐post intervention study using EpiloBot

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Effective epilepsy management requires accurate epilepsy knowledge, active patient engagement, and stigma reduction to improve health outcomes. Educational interventions have been shown to enhance patients' quality of life (QOL) and knowledge. This study evaluated the effectiveness of EpiloBot, an artificial intelligence (AI)‐powered
Izumi Kuramochi   +10 more
wiley   +1 more source

A first in disease trial of the safety, tolerability, and anti‐seizure effects of ES‐481 in drug‐resistant epilepsy

open access: yesEpilepsia Open, EarlyView.
Abstract Objectives ES‐481 is a novel potent and selective antagonist of TARP‐y8‐dependent AMPA receptors. We aimed to assess the potential efficacy, safety and tolerability, and pharmacokinetics of different doses of ES‐481 as an add‐on anti‐seizure medication (ASM) in adults with drug‐resistant epilepsy (DRE). Methods This was a Phase 2A double‐blind,
Emma C. Foster   +16 more
wiley   +1 more source

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