Primary Care

Diet & Nutrition

Latest AI and machine learning research in diet & nutrition for healthcare professionals.

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Identifying the active ingredients of carbonized Typhae Pollen by spectrum-effect relationship combined with MBPLS, PLS, and SVM algorithms.

Typhae Pollen (TP) and its carbonized product (carbonized Typhae Pollen, CTP), as cut-and-dried herb...

Machine learning applications to improve flavor and nutritional content of horticultural crops through breeding and genetics.

Over the last decades, significant strides were made in understanding the biochemical factors influe...

Validation of bone mineral density measurement using quantitative CBCT image based on deep learning.

The bone mineral density (BMD) measurement is a direct method of estimating human bone mass for diag...

Artificial intelligence & clinical nutrition: What the future might have in store.

Artificial Intelligence (AI) is a rapidly emerging technology in healthcare that has the potential t...

Non-traditional data sources in obesity research: a systematic review of their use in the study of obesogenic environments.

BACKGROUND: The complex nature of obesity increasingly requires a comprehensive approach that includ...

Integrating Artificial Intelligence and Wearable IoT System in Long-Term Care Environments.

With the rapid advancement of information and communication technology (ICT), big data, and artifici...

Comparison of computed tomography and dual-energy X-ray absorptiometry in the evaluation of body composition in patients with obesity.

OBJECTIVE: a) To evaluate the accuracy of the pre-existing equations (based on cm2 provided by CT im...

Identifying Young Adults at High Risk for Weight Gain Using Machine Learning.

INTRODUCTION: Weight gain among young adults continues to increase. Identifying adults at high risk ...

Prediction of osteoporosis using MRI and CT scans with unimodal and multimodal deep-learning models.

PURPOSE: Osteoporosis is the systematic degeneration of the human skeleton, with consequences rangin...

Pediatric Single-Incision Robotic Cholecystectomy: A 6-Year Update from a Single Institution.

In children, gallbladder disease has become more common due to the rise in childhood obesity and su...

Creating an ignorance-base: Exploring known unknowns in the scientific literature.

BACKGROUND: Scientific discovery progresses by exploring new and uncharted territory. More specifica...

Robot-assisted partial nephrectomy in morbidly obese patients: a VCQI database study.

To compare perioperative outcomes following robot-assisted partial nephrectomy (RAPN) in patients wi...

The Role of Artificial Intelligence in Deciphering Diet-Disease Relationships: Case Studies.

Modernization of society from a rural, hunter-gatherer setting into an urban and industrial habitat,...

Vision-based food nutrition estimation via RGB-D fusion network.

With the development of deep learning technology, vision-based food nutrition estimation is graduall...

Perioperative comparison between robot-assisted and laparoscopic radical cystectomy: An update meta-analysis.

We conducted this study to explore the efficacy and safety of laparoscopic radical cystectomy (LRC) ...

Exploring the Potential of Chat GPT in Personalized Obesity Treatment.

Obesity has become a serious global health problem. For some patients who cannot be treated with tra...

Deep-Learning-Based Detection of Vertebral Fracture and Osteoporosis Using Lateral Spine X-Ray Radiography.

Osteoporosis and vertebral fractures (VFs) remain underdiagnosed. The addition of deep learning meth...

Predicting Unreported Micronutrients From Food Labels: Machine Learning Approach.

BACKGROUND: Micronutrient deficiencies represent a major global health issue, with over 2 billion in...

Evaluation of plasma vitamin E and development of proteinuria in hypertensive patients.

BACKGROUND: The prospective relationship between plasma vitamin E levels and proteinuria remains unc...

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