In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...
A grading model for radiation dermatitis achieved high overall accuracy; however, sensitivity and specificity varied across grades but were more balanced in grade 4 dermatitis.
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...
Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...
This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...
Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Study: Artificial intelligence model as a tool to predict prediabetes. Image Credit: CI Photos / Shutterstock In a recent study published in the journal Scientific Reports, researchers developed a ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
The ChatGPT o1 Pro can accurately identify glaucoma from visual field and optical coherence tomography data, a study shows.
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