Latest AI and machine learning research in primary care for healthcare professionals.
INTRODUCTION: There are limited data available regarding the connection between heavy metal exposure...
This review aims to assess the effectiveness of AI-driven CDSSs on patient outcomes and clinical pra...
Artificial intelligence (AI) algorithms have been retrospectively evaluated as replacement for one r...
: Polycystic ovary syndrome (PCOS) is a complex disorder that can negatively impact the obstetrical ...
There is no effective fall risk screening tool for the elderly that can be integrated into clinical ...
Urban fragmented vegetable fields offer fresh produce but pose a potential risk of heavy metal (HM) ...
BACKGROUND: Cardiac autonomic neuropathy (CAN) in diabetes mellitus (DM) is independently associated...
Type 1 diabetes (T1D) presents a significant health challenge, requiring patients to actively manage...
BACKGROUND: Increasing epidemiologic studies have shown a positive correlation between obesity and c...
BACKGROUND: The utility of preoperative abdominal ultrasonography (US) in evaluating patients with o...
Diabetes mellitus, stemming from either insulin resistance or inadequate insulin secretion, represen...
Nucleophilic index () as a significant parameter plays a crucial role in screening of amine catalyst...
According to the main international guidelines, patients with obesity and psychiatric/psychological ...
OBJECTIVE: To develop a machine learning-based risk prediction model for postoperative parastomal he...
Pulmonary arterial hypertension (PAH) is considered the third most common cardiovascular disease aft...
PURPOSE: Screening for diabetic retinopathy (DR) by ophthalmologists is costly and labour-intensive....
The exploration of the interactions between diseases and metabolites holds significant implications ...
This study aimed to screen the inhalation toxicity of chemicals found in consumer products such as a...
BACKGROUND: The temporal relationships across cardiometabolic diseases (CMDs) were recently conceptu...
PRCIS: We developed unsupervised machine learning models to identify different subtypes of patients ...
Type 2 diabetes mellitus (T2DM), a complex metabolic disorder that burdens the health care system, r...