Latest AI and machine learning research in preventive care for healthcare professionals.
BACKGROUND: The COVID-19 pandemic demonstrated the potential role of digital health tools in enhancing pandemic preparedness and response. These tools became essential, supporting not only health care delivery but also decision-making, communication, case identification, contact tracing, surveillance, vaccination rollout, and intervention evaluation. The interest in applying digital health tools t...
OBJECTIVE: Swallowing dysfunction poses significant health risks for older adults. Early detection is crucial to prevent complications such as aspiration pneumonia and sarcopenia. Acoustic analysis of voice, speech, and cough provides a promising, noninvasive method for screening for swallowing dysfunction. Here, we present an Expert Consensus Statement (ECS) on the use of select acoustic metrics ...
INTRODUCTION: Adolescent idiopathic scoliosis (AIS) screening remains controversial, particularly regarding its effectiveness and cost-effectiveness i...
IMPORTANCE: Cognitive impairment (CI) is often underdetected in primary care due to time and resource constraints. Passive analysis of clinical dialog...
BACKGROUND: Automated systematic literature review (SLR) may reduce the workload and errors associated with manual review, enabling faster, up-to-date...
INTRODUCTION: Loneliness and social isolation are critical public health issues linked to significant adverse health outcomes and increased healthcare...
Ischemic stroke puts great health burden in public. However, the diagnosis is based on head CT or MRI scanning. We aim to develop classifier models to...
Cardiovascular diseases are among the leading causes of global mortality and morbidity, underscoring the need for accurate and explainable predictive ...
OBJECTIVES: This study investigated the diagnostic accuracy of AI-assisted diabetic retinopathy screening in primary care, using ophthalmologist-led s...
BACKGROUNDS: Haematoma expansion (HE) is a significant factor in poor outcomes following intracerebral haemorrhage (ICH). Studies have suggested that ...
BACKGROUND: The exponential growth of scientific literature poses significant challenges for conducting systematic reviews, particularly in the labor-...
Helminth infections are uncommon in the United States, yet accurate detection remains critical. Conventional ova-and-parasite examinations are labor-i...
The prevalence of gestational diabetes mellitus (GDM) continues to rise, necessitating reliable and effective self-management strategies to improve ma...
PURPOSE: Surveillance of arboviral vectors and screening for probable infection is very important for the planning of vector control programs, especia...
BACKGROUND: Embodied intelligence-artificial intelligence instantiated in physical or virtual bodies that can perceive, communicate, and interact with...
The experimental discovery of high Tcsuperconductivity in sulfur and lanthanum hydrides under extreme pressure has fueled the search for superconducti...
With the rapid growth of the use of computed tomography, advances in artificial intelligence enable opportunistic screening, the systematic extraction...
Metabolic biomarkers offer promising opportunities for lung cancer risk assessment and early detection. This study aimed to identify metabolites with ...
AIMS: To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and unsupervised domain adap...