Latest AI and machine learning research in parenting for healthcare professionals.
OBJECTIVES: To develop a corpus annotated for diet-microbiome associations from the biomedical literature and train natural language processing (NLP) models to identify these associations, thereby improving the understanding of their role in health and disease, and supporting personalized nutrition strategies.
In an era where fast-paced lifestyles often conflict with the pursuit of healthy eating, the demand for innovative solutions to aid nutritional decision-making has never been more pressing. Real-time food nutrition classification and recommendation systems offer an effective solution to this growing issue. By harnessing state-of-the-art technologies such as sensor-based data collection and machine...
The diagnostic accuracy for coronary heart disease (CHD) needs to be improved. Some studies have indicated that klotho protein levels upon admission c...
Automated pose correction remains a significant challenge in AI-driven fitness systems, despite extensive research in activity recognition. This wor...
Emotionally responsive social chatbots, such as those produced by Replika and Character.AI, increasingly serve as companions that offer empathy, sup...
Accurate food volume estimation is crucial for medical nutrition management and health monitoring applications, but current food volume estimation m...
The increasing global burden of allergic diseases and multimorbidity underscores the urgent need for innovative strategies to strengthen immune health...
Overactive bladder (OAB), a prevalent condition characterized by urgency and nocturia, imposes significant burdens on both quality of life and healthc...
Nutrition estimation is an important component of promoting healthy eating and mitigating diet-related health risks. Despite advances in tasks such ...
Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can result in muscle atrophy, polyneuropathy, increase...
BACKGROUND: Machine learning (ML) use in health research is growing, yet its application to predict cognitive outcomes using diverse health indicators...
Biofilms are complex microbial communities critical in medical, industrial, and environmental contexts. Understanding their assembly, structure, genet...
The efficiency optimization methods for natural coagulants are often restricted due to non-scientific trial-and-error approaches. They are inaccurate ...
Rice is an essential staple food worldwide that is important in promoting international trade, economic growth, and nutrition. Asian countries such ...
Accurately tracking food consumption is crucial for nutrition and health monitoring. Traditional approaches typically require specific camera angles...
Inflammatory bowel disease (IBD), comprising ulcerative colitis and Crohn's disease, is a chronic inflammatory condition with global prevalence and va...
Text-driven object insertion in 3D scenes is an emerging task that enables intuitive scene editing through natural language. However, existing 2D ed...
Introduction and aim Large language models (LLMs) are transforming medical education by offering innovative methods to enhance teaching and learning. ...