Latest AI and machine learning research in prevention for healthcare professionals.
Cardiovascular disease (CVD) remains a leading global health threat, responsible for one in five deaths worldwide. Early detection is critical to mitigate morbidity and mortality, yet traditional diagnostic methods often rely on reactive clinical assessments, missing opportunities for preventive intervention. In this study, a machine learning (ML) ecosystem is developed to enhance CVD diagnosis th...
BACKGROUND: To fight sedentary lifestyles, researchers have introduced various technological interventions aimed at promoting physical activity through social support. These interventions encourage people to exercise together, maintaining high levels of motivation. However, the unpredictable nature of human peers makes it challenging to control behavior and balance these interventions effectively....
INTRODUCTION: The pandemic crisis is now a memorable milestone in the history of science, not only for the impacts on the population's health but also...
The rapid integration of artificial intelligence into healthcare has introduced transformative possibilities and challenges. The current narrative rev...
The purpose of this paper is to contribute towards the near-future privacy-preserving big data analytical healthcare platforms, capable of processin...
Diet plays a critical role in human health, yet tailoring dietary reasoning to individual health conditions remains a major challenge. Nutrition Que...
The EU GDPR is a landmark regulation that introduced several rights for individuals to obtain information and control how their personal data is bei...
Cognitive Diagnosis (CD) aims to evaluate students' cognitive states based on their interaction data, enabling downstream applications such as exerc...
The impact of Large Language Models (LLMs) like GPT-3, GPT-4, and Bard in computer science (CS) education is expected to be profound. Students now h...
This study introduces Purrfessor, an innovative AI chatbot designed to provide personalized dietary guidance through interactive, multimodal engagem...
Cardiovascular diseases are best diagnosed using multiple modalities that assess both the heart's electrical and mechanical functions. While effecti...
Existing graph learning-based cognitive diagnosis (CD) methods have made relatively good results, but their student, exercise, and concept represent...
AI systems are assisting humans with increasingly diverse intellectual tasks but are still prone to mistakes. Humans are over-reliant on this assist...
OBJECTIVE: This study aims to assess how enhancing upper limb function on the affected side of stroke influences the gait of the lower limb.
PURPOSE: The magnitude of cardiorespiratory fitness (CRF) impairment during anticancer treatment and CRF response to aerobic exercise training (AT) ar...
We present a comprehensive framework for predicting the effects of perturbations in single cells, designed to standardize benchmarking in this rapid...
Current research in food analysis primarily concentrates on tasks such as food recognition, recipe retrieval and nutrition estimation from a single ...
Understanding the mechanisms of interactions within cells, tissues, and organisms is crucial to driving developments across biology and medicine. Ma...
Recently, there has been an increasing interest in applying technological advances to offer specific dietary recommendations in the field of nutrition...
The sheer number of research outputs published every year makes systematic reviewing increasingly time- and resource-intensive. This paper explores ...