AIMC Topic: Young Adult
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Integrating Large Language Model, EEG, and Eye-Tracking for Word-Level Neural State Classification in Reading Comprehension.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Sep 20, 2024
With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transformers (GPT), there has been a significant shift in exploring human and machine comprehension of semantic language meaning. This shift calls for inter...
Hallux valgus and pes planus: Correlation analysis using deep learning-assisted radiographic angle measurements.
Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons
Sep 19, 2024
BACKGROUND: The relationship between hallux valgus (HV) and pes planus remains unresolved. This study aims to determine the correlation between HV and pes planus using a deep learning (DL) model to measure radiographic angle parameters.
Machine learning-enabled mental health risk prediction for youths with stressful life events: A modelling study.
Journal of affective disorders
Sep 19, 2024
BACKGROUND: Youths face significant mental health challenges exacerbated by stressful life events, particularly in the context of the COVID-19 pandemic. Immature coping strategies can worsen mental health outcomes.
An Intersubject Brain-Computer Interface Based on Domain-Adversarial Training of Convolutional Neural Network.
IEEE transactions on bio-medical engineering
Sep 19, 2024
OBJECTIVE: Attention decoding plays a vital role in daily life, where electroencephalography (EEG) has been widely involved. However, training a universally effective model for everyone is impractical due to substantial interindividual variability in...
OxcarNet: sinc convolutional network with temporal and channel attention for prediction of oxcarbazepine monotherapy responses in patients with newly diagnosed epilepsy.
Journal of neural engineering
Sep 19, 2024
Monotherapy with antiepileptic drugs (AEDs) is the preferred strategy for the initial treatment of epilepsy. However, an inadequate response to the initially prescribed AED is a significant indicator of a poor long-term prognosis, emphasizing the imp...
Teaching Motor Skills Without a Motor: A Semi-Passive Robot to Facilitate Learning.
IEEE transactions on haptics
Sep 19, 2024
Semi-passive rehabilitation robots resist and steer a patient's motion using only controllable passive force elements (e.g., controllable brakes). Contrarily, passive robots use uncontrollable passive force elements (e.g., springs), while active robo...
Electrocardiogram-Based Deep Learning to Predict Mortality in Repaired Tetralogy of Fallot.
JACC. Clinical electrophysiology
Sep 18, 2024
BACKGROUND: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to predict mortality in adults with acquired cardiovascular diseases. However, its application to the growing repaired tetralogy of Fallot (rTOF) populatio...
DentAge: Deep learning for automated age prediction using panoramic dental X-ray images.
Journal of forensic sciences
Sep 18, 2024
Age estimation plays a crucial role in various fields, including forensic science and anthropology. This study aims to develop and validate DentAge, a deep-learning model for automated age prediction using panoramic dental X-ray images. DentAge was t...
Machine learning algorithm for predicting seizure control after temporal lobe resection using peri-ictal electroencephalography.
Scientific reports
Sep 18, 2024
Brain resection is curative for a subset of patients with drug resistant epilepsy but up to half will fail to achieve sustained seizure freedom in the long term. There is a critical need for accurate prediction tools to identify patients likely to ha...
Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study.
JMIR mental health
Sep 18, 2024
BACKGROUND: The application of artificial intelligence (AI) to health and health care is rapidly increasing. Several studies have assessed the attitudes of health professionals, but far fewer studies have explored the perspectives of patients or the ...
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