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Seizure outcomes after resection of temporal encephalocele in patients with drug-resistant epilepsy: A systematic review and meta-analysis.
Epilepsia
January 2025
Department of Neurology, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Objective: Temporal encephaloceles (TEs) are seen in patients with drug-resistant epilepsy (DRE); yet they are also common incidental findings. Variability in institutional pre-surgical epilepsy practices and interpretation of epileptogenic network localization contributes to bias in existing epilepsy cohorts with TE, and therefore the relevance of TE in DRE remains controversial. We sought to estimate effect sizes and sample sizes necessary to demonstrate clinically relevant improvements in seizure outcome with different surgical approaches.
View Article and Find Full Text PDFMitigating triplet loss in 2D WSe/non-fullerene heterostructures using halogenated acceptors.
Mater Horiz
January 2025
Institute of Physics and Astronomy, University of Potsdam, Karl-Liebknecht-Straße 24/25, 14476, Germany.
Two-dimensional transition metal dichalcogenides (2D TMDCs) can be combined with organic semiconductors to form hybrid van der Waals heterostructures. Specially, non-fullerene acceptors (NFAs) stand out due to their excellent absorption and exciton diffusion properties. Here, we couple monolayer tungsten diselenide (ML-WSe) with two well performing NFAs, ITIC, and IT-4F (fluorinated ITIC) to achieve hybrid architectures.
View Article and Find Full Text PDFDiagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models.
Ann Neurol
January 2025
Department of Neurology, Comprehensive Epilepsy Center, Johns Hopkins University, Baltimore, MD, USA.
Objective: Whereas a scalp electroencephalogram (EEG) is important for diagnosing epilepsy, a single routine EEG is limited in its diagnostic value. Only a small percentage of routine EEGs show interictal epileptiform discharges (IEDs) and overall misdiagnosis rates of epilepsy are 20% to 30%. We aim to demonstrate how network properties in EEG recordings can be used to improve the speed and accuracy differentiating epilepsy from mimics, such as functional seizures - even in the absence of IEDs.
View Article and Find Full Text PDFArtificial intelligence in clinical settings: a systematic review of its role in language translation and interpretation.
Ann Transl Med
December 2024
Division of Advanced Gastrointestinal and Bariatric Surgery, Mayo Clinic, Jacksonville, FL, USA.
Background: Addressing language barriers through accurate interpretation is crucial for providing quality care and establishing trust. While the ability of artificial intelligence (AI) to translate medical documentation has been studied, its role for patient-provider communication is less explored. This review evaluates AI's effectiveness in clinical translation by assessing accuracy, usability, satisfaction, and feedback on its use.
View Article and Find Full Text PDFRapid and automated interpretation of CRISPR-Cas13-based lateral flow assay test results using machine learning.
Sens Diagn
December 2024
Department of Bioengineering, Rice University Houston TX 77030 USA
CRISPR-Cas-based lateral flow assays (LFAs) have emerged as a promising diagnostic tool for ultrasensitive detection of nucleic acids, offering improved speed, simplicity and cost-effectiveness compared to polymerase chain reaction (PCR)-based assays. However, visual interpretation of CRISPR-Cas-based LFA test results is prone to human error, potentially leading to false-positive or false-negative outcomes when analyzing test/control lines. To address this limitation, we have developed two neural network models: one based on a fully convolutional neural network and the other on a lightweight mobile-optimized neural network for automated interpretation of CRISPR-Cas-based LFA test results.
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