Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: The fecal immunochemical test (FIT) is widely implemented as a first-line tool in organi...
BACKGROUND AND OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) is a prevalent liver condition ...
BACKGROUND AND OBJECTIVES: Malnutrition among older hospitalized adults with chronic heart failure (...
Purpose To evaluate the predictive value of myosteatosis as an opportunistic finding in coronary art...
INTRODUCTION: Age and hypertension are key drivers of renal impairment, predisposing older hypertens...
Diabetic kidney disease (DKD) is the primary cause of end-stage renal disease globally, yet reliable...
BACKGROUND: Traumatic brain injury-induced coagulopathy (TBI-IC) in the elderly is a severe complica...
BACKGROUND: Evidence indicates that artificial intelligence (AI) can improve mammography screening b...
Cognitive deficits across multiple domains are prevalent in patients with schizophrenia (PWS), and m...
Multimorbidity, a major driver of healthcare demand and clinical complexity, is often addressed in a...
This study investigates health sciences students' attitudes toward artificial intelligence (AI) and ...
Artificial intelligence (AI) is increasingly transforming health care, particularly in solid organ t...
BACKGROUND AND OBJECTIVES: Low-grade systemic inflammation contributes to the pathophysiology of sev...
Clinical trial enrollment in oncology remains limited by increasingly complex eligibility criteria, ...
Wearable biosensors leverage microfluidic technology for precise biofluid sampling and directional t...
UNLABELLED: Depression and obesity are highly comorbid and likely involve common risk factors and pa...
BACKGROUND: Gestational diabetes mellitus (GDM) is a common complication during pregnancy, with its ...
BACKGROUND: Diabetic retinopathy (DR) remains a leading cause of preventable blindness, yet screenin...
AIM: To build a comprehensive nursing risk model for older adults inpatients with multiple chronic c...
The healthcare community remains divided on the benefits of artificial intelligence (AI) in medicine...
Virtual screening has emerged as one of the most impactful in silico approaches for the identificati...