Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Tricuspid regurgitation jet velocity (TRJV) on echocardiography is used for screening pa...
BACKGROUND AND AIM: Managing obesity requires a comprehensive approach that involves therapeutic lif...
It is more attractive to develop effective strategies to reduce sugar intake without compromising fo...
Purpose To assess patient perceptions of artificial intelligence (AI) use in the interpretation of s...
BACKGROUND: Artificial intelligence (AI) could improve accuracy and efficiency of breast cancer scre...
Artificial intelligence (AI), a branch of computer science focused on developing algorithms that rep...
IMPORTANCE: Type 2 diabetes (T2D) is one of the most prevalent chronic diseases in the world. Insuli...
The Mary Tyler Moore Vision Initiative (MTM Vision) honors Mary Tyler Moore's commitment to ending v...
Insulin resistance, a precursor to type 2 diabetes, is characterized by impaired insulin action in...
Chronic diseases, such as cardiovascular disease, diabetes, chronic kidney disease, and thyroid di...
Diabetes is a civilization chronic disease characterized by a constant elevated concentration of g...
Diabetic retinopathy is a severe eye condition caused by diabetes where the retinal blood vessels ...
Artificial Intelligence (AI) holds great promise for transforming healthcare, particularly in dise...
BACKGROUND: Type 2 diabetes (T2D) continues to present a global public health challenge due to its i...
Postoperative pain is a relevant and unresolved problem in clinical practice. In order to reduce the...
CONTEXT: Large-for-gestational-age (LGA), one of the most common complications of gestational diabet...
Protein kinase C (PKC) is a family of serine/threonine kinases, and PKC ligands have the potential t...
A scalable and reliable system is required to analyze the National Health and Nutrition Examinatio...
Clinical natural language processing (NLP) is increasingly in demand in both clinical research and...
Objective: Create precise, structured, data-backed guidelines for type 2 diabetes treatment progre...
Training Neural Networks (NNs) to behave as Model Predictive Control (MPC) algorithms is an effect...