AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached ...

To address this, we propose a novel pneumonia diagnosis method using the Fast-YOLO deep learning network that we introduced. First, we constructed a pneumonia dataset containing five categories and ...

Results: For the first time, bioinformatics tools were utilized to investigate the close genetic relationship between diabetes and kidney stones. Among 101 machine learning models, S100A4, ARPC1B, and ...

A total of 1,454 X-ray images were analyzed using the scientists' system. Performance rates for the lumbar and femur of patients with bone density loss, or osteopenia, were 86.4% and 84.1% ...

This paper aims at comparing performance of various machine learning models for the task of predicting diabetes using one of the public datasets. The research assesses the big data analysis in the ...

Diabetes is the serious and widespread disease worldwide. Common ingredients in modern diets, like sugar and fat, increase the risk of diabetes. Recognizing the symptoms is essential to predict and ...

CTSMamba is a multitask deep learning model trained on longitudinal CT images of neoadjuvant chemotherapy-treated locally advanced gastric cancer that accurately predicts lymph node metastasis and ...

Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.