Latest AI and machine learning research in primary care for healthcare professionals.
Machine learning has the potential to address limitations of traditional osteoporosis screening through advanced data processing and pattern recognition capabilities. This review provides a critical analysis of ML applications in opportunistic screening, precision risk assessment, and quantitative bone quality analysis, while addressing current implementation challenges and future research directi...
The global rise in the prevalence of obesity highlights the need for accessible and effective solutions for obesity management. ChatGPT, one of the fastest-growing artificial intelligence (AI) tools, is gaining attention for its potential to offer interactive support in managing complex conditions such as obesity. In this Review, we used a thematic synthesis approach to examine ChatGPT's effect on...
OBJECTIVE: To evaluate an embedded artificial intelligence (AI) system for otoscopic image-based screening and prediagnostic triage of pediatric otiti...
Artificial intelligence (AI) holds transformative potential for advancing oral health surveillance by streamlining data collection, integration, and d...
Over a century since Louis Camille Maillard first described the reaction that bears his name, advanced glycation end products (AGEs) resulting from th...
Promoting brain health is vital for well-being and reducing healthcare burdens. Brain health as measured with the Brain Age Gap (BAG) - the difference...
BACKGROUND: The recombinant production of Pseudomonas aeruginosa exotoxin A (ETA), a critical component for immunotoxin development, remains hindered ...
BACKGROUND: Suicide is a leading cause of death among adolescents, yet most prediction models rely on binary classification and limited predictors, fa...
A major challenge in deciphering the complex genetic landscape of polycystic ovary syndrome (PCOS) lies in the limited understanding of how susceptibi...
The aim of this study is to develop an artificial intelligence (AI)-driven pipeline for forecasting blood glucose levels to mitigate risks associated ...
Ageing is the primary risk factor for many chronic, degenerative, and life-threatening disorders, yet the translational pipeline for geroprotective in...
We developed an automatic self-enhancement-based perfusion mapping (SEPM) method to relatively map the microvascular perfusion level in contrast-enhan...
Splenectomy remains a common operation performed in the setting of trauma, haematological disease, malignancy and diagnostic purposes. Contemporary ev...
AIMS: To establish a model to predict cardiovascular risk and identify treatment response for patients with type 2 diabetes. METHODS: Data from 11677 ...
OBJECTIVES: This study aimed to identify high-risk factors for type 2 diabetes and develop a machine learning (ML)-based diabetes prediction model usi...
OBJECTIVES: To predict siesta behavior using machine learning models trained on self-reported and objective data-temperature (T), activity (A), positi...
Natural food pigments primarily originate from two sources: chemical synthesis and plant-derived production. With the rapid advancement of society and...
Mediation analysis decomposes the causal effect of a treatment on an outcome into an indirect effect, mediated through intermediate variables, and a d...
BACKGROUND: Deaf individuals often face communication challenges when interacting with those who can hear. Within health care settings, these challeng...
Advances in additive manufacturing, particularly 3D and multidimensional printing, have enabled unprecedented control over the architecture, compositi...