Latest AI and machine learning research in prevention for healthcare professionals.
Chronic kidney disease (CKD) is a prevalent global health issue, and nutritional management of CKD is an integral component through all stages of the disease. However, response to dietary interventions varies, potentially due to genetic variations influencing metabolic pathways. This review highlights key gene-diet interactions relevant to CKD management, including risk factors and comorbidities s...
BACKGROUND: Timely detection and monitoring of abdominal aortic aneurysms (AAAs) are necessary to prevent ruptures and decrease mortality. Artificial intelligence (AI)-based algorithms can automatically detect the presence of AAA on imaging and radiology reports. The goal of this study is to examine the impact of AI utilization on AAA detection and care while comparing it to historical standard of...
INTRODUCTION: Honey bees are essential managed pollinators faced by nutritional deficiencies which contributes to worldwide colony losses. The integra...
The voltage-gated sodium channel Nav1.6, encoded by the sodium voltage-gated channel alpha subunit 8 gene, is a crucial regulator of neuronal excitabi...
INTRODUCTION: Bleeding is a serious complication in cardiac surgery, especially among patients receiving combined anticoagulant and antiplatelet thera...
Perinatology relies on continuous engagement with an expanding body of clinical literature, yet the volume and velocity of publications increasingly e...
BACKGROUND: Although it is well-known that diet quality varies according to multiple dimensions of socioeconomic position (SEP), much remains unknown ...
BACKGROUND: Although healthy lifestyle behaviours are associated with a lower risk of psoriasis, the underlying metabolic mechanisms remain unclear. O...
The need for comprehensive equine welfare assessments has become particularly evident amid ongoing debates about the social licence to operate in eque...
BACKGROUND AND AIMS: Developing metabolomic signatures of diets is a promising strategy to better understand the diet-health paradigm. Our objective w...
Dementia, particularly Alzheimer's disease (AD), presents a growing global health challenge characterized by cognitive decline, behavioral changes, an...
PURPOSE: To evaluate the performance of ChatGPT on the National Prosthodontics Resident Exam (NPRE). METHODS: Two separate OpenAI accounts were used f...
OBJECTIVE: To assess the accuracy and reliability of an artificial intelligence (AI) chatbot (ChatGPT) in providing answers about exercise recommendat...
This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose,...
Concussions present a significant risk to athletes, with females exhibiting higher rates and prolonged recovery times than males. Current sideline con...
BACKGROUND/OBJECTIVES: Developments in artificial intelligence encourage society to seek advice from artificial intelligence regarding nutrition recom...
This project aims to improve the accuracy of fitness and physical pressure ratings, focusing on basketball, by integrating artificial intelligence (AI...
Vitamin B is a vital nutrient for the normal functioning of many metabolic processes. It has a characteristic corrinoid ring structure with a cobalt i...
A healthy diet has been associated with a reduced risk of dementia. Here we devised a Machine learning-assisted Optimizing Dietary intERvention agains...
Knee injuries are common in several people, frequently controlling for significant injuries and health care costs. This article explains the role of p...