AI enhances breast cancer care by improving mammography accuracy, reducing false negatives, and aiding in clinical trial enrollment and design. AI-driven digital patient profiling reduces placebo use ...

The great majority of the public believe that larger banks are in a much better financial position since the Great Financial ...

New research confirms that an artificial intelligence (AI) model trained on millions of electrocardiograms (ECGs) serves as a ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

A tool combining CV risk score (CVRS) and coronary artery calcium score (CACS) facilitates stratification of patients with COPD at risk for MACE.

Researchers sought to develop and validate artificial neural networks for overall survival and progression-free survival in older adults with HNSCC following definitive chemoradiation.

Obesity indices, particularly body fat percentage and relative fat mass, were associated with OA and may aid in early detection.

Risk stratification of patients with chest pain has traditionally focused on identifying obstructive coronary artery disease (CAD). Using this traditional approach, many symptomatic individuals are ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

Neonatal Respiratory Distress Syndrome, Lung Ultrasound, Diagnosis, Application Progress Share and Cite: Zhang, C. and Wang, ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...