Concerns Over AI Use in Healthcare: Trust Issues Among Adults
Study reveals 65.8% of adults lack trust in healthcare's use of AI. Communication and engagement are essential for improvement. 🤖💔
Explainable hybrid transformer for multi-classification of lung disease using chest X-rays.
A recent study highlights a hybrid transformer model, LungMaxViT, achieving 96.8% accuracy in lung disease classification using chest X-rays. 🩻✨
A Deep Learning Approach for Mental Fatigue State Assessment.
This study explores deep learning for assessing mental fatigue in sports, achieving 95.29% accuracy. 🧠⚽️
Northamptonshire Maternity EPR System Launch Date Announced
Northamptonshire's maternity EPR system, BadgerNet, will launch at Kettering General Hospital in July 2025 and Northampton by year-end. 🏥📅
Risk of crashes among self-employed truck drivers: Prevalence evaluation using fatigue data and machine learning prediction models.
Self-employed truck drivers face increased crash risks due to fatigue. 🚚💤 A recent study highlights critical factors and predictive models.
Artificial Intelligence non-invasive methods for neonatal jaundice detection: A review.
AI enhances neonatal jaundice detection with non-invasive methods, improving accuracy and reducing risks. 🤖👶
Speech emotion recognition using fine-tuned Wav2vec2.0 and neural controlled differential equations classifier.
Exploring speech emotion recognition with Wav2vec2.0 and NCDEs. Promising results in accuracy and stability! 📊🎤
Use of a Convolutional Neural Network to Predict the Response of Diabetic Macular Edema to Intravitreal Anti-VEGF Treatment: A Pilot Study.
A recent study explores using a convolutional neural network to predict diabetic macular edema treatment responses. 🤖👁️