Parenting

Development and evaluation of interpretable machine learning regressors for predicting femoral neck bone mineral density in elderly men using NHANES data.

Osteoporotic femoral neck fractures (OFNFs) pose a significant orthopedic challenge in the elderly p...

Nutritional intelligence in the food system: Combining food, health, data and AI expertise.

Transformative change is needed across the food system to improve health and environmental outcomes....

Diet Quality and Caloric Accuracy in AI-Generated Diet Plans: A Comparative Study Across Chatbots.

With the rise of artificial intelligence (AI) in nutrition and healthcare, AI-driven chatbots are i...

Improved health outcomes of nasopharyngeal carcinoma patients 3 years after treatment by the AI-assisted home enteral nutrition management.

OBJECTIVES: Patients with nasopharyngeal carcinoma (NPC) are prone to malnutrition, which leads to d...

Key risk factors of generalized anxiety disorder in adolescents: machine learning study.

Adolescents worldwide are increasingly affected by mental health disorders, with anxiety disorders, ...

Cyber-bioethics: the new ethical discipline for digital health.

Investigation and Assessment of AI's Role in Nutrition-An Updated Narrative Review of the Evidence.

BACKGROUND: Artificial Intelligence (AI) technologies are now essential as the agenda of nutrition r...

A Longitudinal Prediction of Suicide Attempts in Borderline Personality Disorder: A Machine Learning Study.

Borderline personality disorder (BPD) is associated with a high risk of suicide. Despite several ris...

Food for thought: a qualitative assessment of medical trainee and faculty perceptions of nutrition education.

BACKGROUND: The American Society of Clinical Nutrition recommends 37 to 44 h of undergraduate medica...

Applications and Future Prospects of Medical LLMs: A Survey Based on the M-KAT Conceptual Framework.

The success of large language models (LLMs) in general areas have sparked a wave of research into th...

Trajectory of breastfeeding among Chinese women and risk prediction models based on machine learning: a cohort study.

BACKGROUND: Breastfeeding is the optimal source of nutrition for infants and young children, essenti...

Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers.

One of the foremost causes of global healthcare burden is cancer of the gastrointestinal tract. The ...

The application of ChatGPT in nursing: a bibliometric and visualized analysis.

OBJECTIVE: With the development of ChatGPT, the number of studies within the nursing field has incre...

Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects.

The medical metaverse is a combination of medicine, computer science, information technology and oth...

Multibody system dynamics for bio-robotic design and simulation based on inching-locomotion caterpillar's gait: MBD-ILAR method.

Inching-locomotion caterpillars (ILAR) inspire the design of 'inch-worm' robots with biomimicry feat...

Enhancing Nitrogen Nutrition Index estimation in rice using multi-leaf SPAD values and machine learning approaches.

Accurate nitrogen diagnosis is essential for optimizing rice yield and sustainability. This study in...

Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect Images.

Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning mod...

Novel study designs and modelling approaches in nutrition research: application of advanced statistical modelling approaches and N-of-1 study designs.

Randomised controlled trials are the 'gold standard' approach in nutrition research to show a causal...

Good practices and common pitfalls of machine learning in nutrition research.

Machine learning is increasingly being utilised across various domains of nutrition research due to ...

Milk ladder: Who? When? How? Where? with the lowest risk of reaction.

The milk ladder (ML) approach, which is the gradual reintroduction of the milk allergen from the lea...

Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models.

A significant portion of the world's population relies on rice as a primary source of nutrition. In ...