IEEE

Enhanced Diabetic Retinopathy Detection and Classification Model Using SqueezeNet with Whale Optimization Algorithm

Abstract: Diabetic Retinopathy (DR) is a severe eye condition predominantly impacting people suffering from diabetes, and it stands as a major contributor to adult blindness. Traditional detection ...
BetaKit

AI ethical concerns roughly as important to Canadians as economic growth, analysis shows

Canadians are just as concerned about AI harms as they are excited about its economic benefits, according to a BetaKit ...
news.gov.hk

Cultivating AI innovation on campus

Spearheaded by the Digital Policy Office, the IT Innovation Lab in Secondary Schools programme and the Knowing More About IT ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
IEEE

Classification of Cognitive Load Using Deep Learning Based on Eye Movement Indices

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

The risk of bias was evaluated using the Quality In Prognosis Studies tool and the Prediction model Risk Of Bias Assessment Tool by 2 investigators (MMS and MAS) independently. A narrative synthesis ...