Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: The utility of preoperative abdominal ultrasonography (US) in evaluating patients with o...
OBJECTIVE: To develop a machine learning-based risk prediction model for postoperative parastomal he...
According to the main international guidelines, patients with obesity and psychiatric/psychological ...
Pulmonary arterial hypertension (PAH) is considered the third most common cardiovascular disease aft...
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...
Tuberculosis (T.B.) remains a prominent global cause of health challenges and death, exacerbated by ...
BACKGROUND: Optic disc drusen (ODD) represent an important differential diagnosis of papilledema cau...
BACKGROUND: New-onset diabetes represent a high-risk cohort to screen for pancreatic cancer.
Cerebral aneurysms, affecting 2-5% of the global population, are often asymptomatic and commonly loc...
Metabolic syndrome (MetS) is a complex disorder characterized by a cluster of metabolic abnormalitie...
As breast screening services move towards use of healthcare AI (HCAI) for screen reading, research o...
Several studies published so far used highly selective image datasets from unclear sources to train ...
Endometrial cancer screening is crucial for clinical treatment. Currently, cytopathologists analyze ...
BACKGROUND: We aimed to develop novel artificial intelligence (AI) models based on early pregnancy f...
To increase early identification and intervention of dyslexia, a prescreening instrument is critical...
Nutrition plays a key role in the comprehensive care of critically ill patients. Determining optimal...
This study aimed to apply machine learning (ML) techniques to develop and validate a risk prediction...