Assessment of Pain Intensity Using Deep Learning Models in Non-Communicative Intensive Care Patients. [PDF]
Nurs Crit CareGuven S, Aslan FE, Canayaz M.
europepmc +1 more source
Effect of epileptogenesis on hypercapnic cardioventilatory response in kainic acid rats
Epilepsia, EarlyView.Abstract Objective Cardioventilatory failure is the leading mechanism proposed to underlie sudden unexpected death in epilepsy (SUDEP), which occurs predominantly at night in patients with generalized tonic–clonic seizures. Interictal hypercapnic cardioventilatory responses are suggested to be involved, as they are ablated in chronically epileptic ...
Auriane Apaire +7 more
wiley +1 more source
Prediction of atelectasis in <i>Mycoplasma pneumoniae</i> pneumonia using a SHapley Additive exPlanations-interpretable machine learning model. [PDF]
Front PediatrSun J, Wang T, Li M, Wang M.
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Privacy-Aware Synthetic Tabular Data Generation for Healthcare: Application to Sepsis Detection. [PDF]
Bioengineering (Basel)Macias-Fassio E +4 more
europepmc +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Epilepsia 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
DTF-STCANet: A Dual Time-Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification. [PDF]
Diagnostics (Basel)Bilen MN, Çelik FM, Kobat MA, Demir F.
europepmc +1 more source
PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System
Energy Science &Engineering, EarlyView.A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman +5 more
wiley +1 more source
Early prediction of immune checkpoint inhibitor-related pneumonitis in advanced non-small cell lung cancer based on primary tumor delta-radiomics features. [PDF]
Front ImmunolXie D +10 more
europepmc +1 more source
Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment
Exploration, EarlyView.This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng +11 more
wiley +1 more source