Parenting

We have to go back, back to the future! Reflecting on 75 years of human factors in the UK to shape a future of responsible artificial intelligence innovation.

The origins of Human Factors (HF) are rooted in the Second World War. It is a sign of the times that...

Prediction of coronary heart disease based on klotho levels using machine learning.

The diagnostic accuracy for coronary heart disease (CHD) needs to be improved. Some studies have ind...

Boosting Immunity Through Nutrition and Gut Health: A Narrative Review on Managing Allergies and Multimorbidity.

The increasing global burden of allergic diseases and multimorbidity underscores the urgent need for...

Predicting overactive bladder from inflammatory markers: A machine learning approach using NHANES 2005-2020.

Overactive bladder (OAB), a prevalent condition characterized by urgency and nocturia, imposes signi...

Neonatal Nutrition Using ChatGPT.

Personalized Nutrition Strategies for Patients in the Intensive Care Unit: A Narrative Review on the Future of Critical Care Nutrition.

Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can ...

Artificial intelligence in cancer-related malnutrition and cachexia: a transformative tool in clinical nutrition.

Predicting Cognitive Outcome Through Nutrition and Health Markers Using Supervised Machine Learning.

BACKGROUND: Machine learning (ML) use in health research is growing, yet its application to predict ...

Adaptive optimization of natural coagulants using hybrid machine learning approach for sustainable water treatment.

The efficiency optimization methods for natural coagulants are often restricted due to non-scientifi...

Analysis of biofilm assembly by large area automated AFM.

Biofilms are complex microbial communities critical in medical, industrial, and environmental contex...

Preparing for Vascular Surgery Board Certification: A Comparative Study Using Large Language Models.

Introduction and aim Large language models (LLMs) are transforming medical education by offering inn...

Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach.

PURPOSE: Malnutrition remains a critical public health issue in low-income countries, significantly ...

Explosion of formulaic research articles, including inappropriate study designs and false discoveries, based on the NHANES US national health database.

With the growth of artificial intelligence (AI)-ready datasets such as the National Health and Nutri...

The long journey of artificial intelligence in medicine: an overview.

Artificial intelligence (AI) has its roots in the history of philosophy and of applied mathematics o...

Harnessing artificial intelligence for advancements in Rice / wheat functional food Research and Development.

In recent years, the research and development (R&D) of rice and wheat functional foods has attracted...

Integrating PICO principles into generative artificial intelligence prompt engineering to enhance information retrieval for medical librarians.

Prompt engineering, an emergent discipline at the intersection of Generative Artificial Intelligence...

Machine Learning in Automated Food Processing: A Mini Review.

Industrial food processing is rapidly transforming into automation and digitalization. Automated foo...

Optimizing Chart Review Efficiency in Pressure Injury Evaluation Using ChatGPT.

INTRODUCTION: Wound care is an essential discipline in plastic surgery, especially as the prevalence...

A Pilot Study on Using an Artificial Intelligence Algorithm to Identify Urolith Composition through Abdominal Radiographs in the Dog.

In small animal practice, patients often present with urinary lithiasis, and prediction of urolith c...

Building a cancer risk and survival prediction model based on social determinants of health combined with machine learning: A NHANES 1999 to 2018 retrospective cohort study.

The occurrence and progression of cancer is a significant focus of research worldwide, often accompa...

Exploring Ensemble Learning Techniques for Infant Mortality Prediction: A Technical Analysis of XGBoost Stacking AdaBoost and Bagging Models.

BACKGROUND: Infant mortality remains a critical public health issue, reflecting the overall health a...