Parenting

Usability and Overall Perception of a Health Bot for Nutrition-Related Questions for Patients Receiving Bariatric Care: Mixed Methods Study.

BACKGROUND: Currently, over 4000 bariatric procedures are performed annually in Switzerland. To impr...

The Impact of Multimodal Large Language Models on Health Care's Future.

When large language models (LLMs) were introduced to the public at large in late 2022 with ChatGPT (...

Triple-crises-induced food insecurity: systematic understanding and resilience building approaches in Africa.

The triple crises of the COVID-19 pandemic, conflict and climate change have severely impacted food ...

Artificial Intelligence Technology for Food Nutrition.

Food nutrition is generally defined as the heat energy and nutrients obtained from food by the human...

Machine Learning in Cardio-Oncology: New Insights from an Emerging Discipline.

A growing body of evidence on a wide spectrum of adverse cardiac events following oncologic therapie...

Machine learning and personalized nutrition: a promising liaison?

Enhanced detection of Listeria monocytogenes using tetraethylenepentamine-functionalized magnetic nanoparticles and LAMP-CRISPR/Cas12a-based biosensor.

BACKGROUND: Listeria monocytogenes is a pathogenic bacterium that can lead to severe illnesses, espe...

A highly integrated bionic hand with neural control and feedback for use in daily life.

Restoration of sensorimotor function after amputation has remained challenging because of the lack o...

Potential interaction of sugar intake and tobacco exposure on dental caries in adults-A cross-sectional study from the National Health and Nutrition Examination Survey.

BACKGROUND/PURPOSE: We suspected that there might be an interaction between sugar intake and tobacco...

Challenges and opportunities of big data analytics in healthcare.

Data science is an interdisciplinary discipline that employs big data, machine learning algorithms, ...

SeqPredNN: a neural network that generates protein sequences that fold into specified tertiary structures.

BACKGROUND: The relationship between the sequence of a protein, its structure, and the resulting con...

Ethical concerns surrounding artificial intelligence in anatomy education: Should AI human body simulations replace donors in the dissection room?

The potential effects of artificial intelligence (AI) on the teaching of anatomy are unclear. We exp...

AC-Faster R-CNN: an improved detection architecture with high precision and sensitivity for abnormality in spine x-ray images.

In clinical medicine, localization and identification of disease on spinal radiographs are difficult...

A look at radiation detectors and their applications in medical imaging.

The effectiveness and precision of disease diagnosis and treatment have increased, thanks to develop...

Artificial intelligence in cardiac computed tomography.

Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern appli...

Protocol of a parallel, randomized controlled trial on the effects of a novel personalized nutrition approach by artificial intelligence in real world scenario.

BACKGROUND: Nutrition service needs are huge in China. Previous studies indicated that personalized ...

The future of artificial intelligence in clinical nutrition.

PURPOSE OF REVIEW: Artificial intelligence has reached the clinical nutrition field. To perform pers...

Multimodal deep learning as a next challenge in nutrition research: tailoring fermented dairy products based on -mediated lipid metabolism.

Deep learning is evolving in nutritional epidemiology to address challenges including precise nutrit...

An unsupervised wavelet neural network model for approximating the solutions of non-linear nervous stomach model governed by tension, food and medicine.

The human stomach is a complex organ. Its role is to degrade food particles by using mechanical forc...

Exploring the application of machine learning to expert evaluation of research impact.

The objective of this study is to investigate the application of machine learning techniques to the ...

The role of artificial intelligence in the future of urogynecology.

Artificial intelligence (AI) in medicine is a rapidly growing field aimed at using machine learning ...