Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Pulmonary hypertension (PH) carries a significant mortality risk, highlighting the need ...
BACKGROUND: One of the main causes of blindness in the world, diabetic retinopathy (DR) is a dangero...
OBJECTIVES: Studies have reported promising results regarding artificial intelligence (AI) as a tool...
Early and precise diagnosis of gestational diabetes mellitus (GDM) is crucial for improving maternal...
Artificial intelligence (AI) is reshaping population screening, yet the translation from laboratory ...
OBJECTIVE(S): To develop and internally validate an interpretable machine learning model using eXtre...
BackgroundSystemic lupus erythematosus (SLE), an autoimmune disease, predominantly affects women and...
Cryptosporidiosis, caused by Cryptosporidium spp., is a significant zoonotic parasitic disease impac...
Type-2 diabetes is a major public health concern in Bangladesh, and this dataset provides 1065 curat...
BACKGROUND: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, arising ...
OBJECTIVE: CURATE.AI is an artificial intelligence platform enabling personalised drug dosing. Aims:...
We aim to present recent advancements in predictive markers for lymphomagenesis in SjD, concisely or...
On-demand chemical spaces consist of molecules that are, a priori, readily synthesizable from sets o...
Prostate cancer places a heavy economic burden on health care in many countries globally. This is no...
BACKGROUND AND OBJECTIVES: Identifying surgical candidates who are prone to poor outcomes is crucial...
Insulin signaling is vital for cellular homeostasis, with dysregulation leading to severe metabolic ...
BACKGROUND: Insulin resistance (IR) indices like the TyG index are predictors of type 2 diabetes (T2...
OBJECTIVE: There is a lack of breast radiologists in Norway and in Europe. Artificial intelligence (...
OBJECTIVES: The surge in publications increases screening time required to maintain high-quality lit...
OBJECTIVES: Electronic health records (EHRs) rarely capture dietary detail, limiting diet-disease re...
BACKGROUND: Machine learning (ML) may improve prediction of atrial fibrillation (AF), but its value ...