Latest AI and machine learning research in primary care for healthcare professionals.
Many lifestyle factors, such as nutritional imbalance leading to obesity, metabolic disorders, and n...
BACKGROUND: People with polycystic ovary syndrome suffer from many symptoms and are at risk of devel...
Diabetes mellitus (DM) is a persistent metabolic disorder associated with the hormone insulin. The t...
The role of artificial intelligence (AI) in pathology offers many exciting new possibilities for imp...
Cervical cancer (CC) continues to be a major worldwide health concern, profoundly impacting the live...
Proper insulin management is vital for maintaining stable blood sugar levels and preventing complica...
BACKGROUND AND AIMS: Obesity is a chronic disease which can cause severe metabolic disorders. Machin...
Leveraging continuous glucose monitoring (CGM) systems, real-time blood glucose (BG) forecasting is ...
Computer-aided detection and diagnosis systems (CADe/CADx) in endoscopy are commonly trained using h...
Valvular heart disease (VHD) is becoming more prevalent in an ageing population, leading to challeng...
PURPOSE: Osteoporotic vertebral compression fractures (OVCFs) are a highly prevalent source of morbi...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is underdiagnosed with the current gold sta...
Apparent treatment-resistant hypertension (aTRH), defined as blood pressure (BP) that remains uncont...
Covalent drugs exhibit advantages in that noncovalent drugs cannot match, and covalent docking is an...
Artificial intelligence (AI) has emerged as a transformative tool in the field of ophthalmology, rev...
In India, newborn screening (NBS) is essential for detecting health problems in infants. Despite sig...
The process of virtual screening relies heavily on the databases, but it is disadvantageous to condu...
Hypertension is a widely prevalent disease and uncontrolled hypertension predisposes affected indivi...
UNLABELLED: This study is aimed at examining the impact of ChatGPT on pediatric endocrine and metabo...
This work aims to compare the performance of Machine Learning (ML) and Deep Learning (DL) algorithms...
Systematic reviews are vital for guiding practice, research and policy, although they are often slow...