Latest AI and machine learning research in primary care for healthcare professionals.
Nutrition plays a key role in the comprehensive care of critically ill patients. Determining optimal...
OBJECTIVES: Considering the escalating incidence of strabismus and its consequential jeopardy to bin...
This study aimed to apply machine learning (ML) techniques to develop and validate a risk prediction...
The excessive accumulation and malfunctioning of visceral adipose tissue (VAT) is a major determinan...
BACKGROUND: Recently, there has been a growing interest in exploring AI-driven chatbots, such as Cha...
INTRODUCTION: Melanocytic nevi (MN), warts, seborrheic keratoses (SK), and psoriasis are four common...
OBJECTIVES: Artificial intelligence (AI) tools utilizing machine learning (ML) have gained increasin...
As an integral aspect of health care, digital technology has enabled modelling of complex relationsh...
Since the past decade, the interest towards more precise and efficient healthcare techniques with sp...
Survival models have found wider and wider applications in credit scoring recently due to their abil...
This research paper utilizes a fused-in-silico approach alongside bioactivity evaluation to identify...
The advent of affordable technology has significantly influenced the practice of digital pathology, ...
INTRODUCTION: In 2021, the International Diabetes Federation reported that 537 million people worldw...
Due to the continuously increasing Cost of Goods Sold, the pharmaceutical industry has faced several...
BACKGROUND: Atrial fibrillation (AF) is highly correlated with heart failure, stroke and death. Scre...
Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challen...
BACKGROUND: Cognitive assessment plays a pivotal role in the early detection of cognitive impairment...
Smoking is a major cause of premature and preventable death. Tobacco exposure has a detrimental effe...