Latest AI and machine learning research in preventive care for healthcare professionals.
BACKGROUND: Cardiac amyloidosis (CA) is an under-recognized cause of left-ventricular hypertrophy (LVH) that is often misclassified as hypertrophic cardiomyopathy (HCM) or hypertensive heart disease (HHD). We aimed to develop and externally validate an AI model using electrocardiograms (ECG) and echocardiography to distinguish CA from other LVH aetiologies. METHODS: A retrospective, multicenter st...
Early detection of lung cancer remains one of the most effective strategies for improving survival; however, diagnostic performance is limited by variability in imaging protocols, scanner settings, lesion characteristics, and inter-reader interpretation. Deep learning (DL) models enable automated feature representation from medical images, while radiomics provides interpretable handcrafted biomark...
BACKGROUND: Parkinson disease frequently manifests early vocal impairment, motivating the development of noninvasive and scalable digital screening to...
OBJECTIVES: To systematically map the extent and nature of research on AI-enhanced point-of-care (POC) and rapid diagnostic technologies for infectiou...
Diabetic retinopathy (DR) has been known as one of the leading preventable causes of vision impairment globally and requires automated screening syste...
Breast cancer detection remains a significant challenge in medical diagnostics. Traditional diagnostic methods are time-consuming, unable to detect co...
BACKGROUND: Label-free vibrational spectroscopic techniques (Raman spectroscopy) combined with machine learning (ML) methodologies have huge potential...
BACKGROUND: Accurate preoperative risk stratification remains challenging, as existing scoring systems are often complex, invasive, or limited to spec...
BACKGROUND: Most people with dementia reside in the community and are cared for by family members. Family caregivers play an essential role in support...
BACKGROUND: Health care systems are increasingly confronted with the challenge of managing complex clinical processes. One proposed solution is a pati...
BACKGROUND: Prostate cancer (PCa) is characterized by pronounced intratumoral heterogeneity and multifocality, presenting ongoing challenges for early...
The persistent global rise in atherosclerotic cardiovascular disease (ASCVD) challenges the effectiveness of current risk factor-based algorithms in p...
PURPOSE: Artificial intelligence (AI) is increasingly explored as a complement to radiologists in population-based breast cancer screening, yet optima...
The fundamental requirement for the initial recognition of a mammogram is the accurate segmentation and classification of breast lesions in mammograms...
This study aimed to investigate the prevalence of screening-positive mild cognitive impairment (s-MCI) and to develop a parsimonious prediction model ...
BACKGROUND: Preeclampsia, which is a leading cause of maternal and perinatal mortality and morbidity, represents a biologically heterogeneous syndrome...
Artificial intelligence (AI) technologies such as machine learning (ML), deep learning (DL), predictive analytics and other tools are rapidly changing...
BACKGROUND: Early identification of autism spectrum disorder (ASD) is essential for improving developmental outcomes but remains challenging due to di...
BACKGROUND AND AIMS: Endoscopists' colonoscopy adenoma detection rates (ADR) are inversely associated with their patients' risk of post-colonoscopy co...
AIMS: Similar to blood, saliva contains a broad range of biomarkers and may offer a non-invasive, repeatable specimen for endocrine and metabolic asse...