Latest AI and machine learning research in parenting for healthcare professionals.
BACKGROUND: Hyperostosis is a common radiographic feature of inverted papilloma (IP) tumor origin on computed tomography (CT). Herein, we developed a machine learning (ML) model capable of analyzing CT images and identifying IP attachment sites.
BACKGROUND: Accurate measurement of food and nutrient intake is crucial for nutrition research, dietary surveillance, and disease management, but traditional methods such as 24-hour dietary recalls, food diaries, and food frequency questionnaires are often prone to recall error and social desirability bias, limiting their reliability. With the advancement of artificial intelligence (AI), there is ...
This work aims to comprehensively explore the influencing factors of aerobics athletes' performance by integrating sports nutrition assistance and art...
Mitochondria are intracellular organelles that act as powerhouses by breaking down nutrition molecules to produce adenosine triphosphate (ATP) as cell...
The intersection of artificial intelligence (AI) and public health nutrition is rapidly evolving, offering transformative potential for how we underst...
Understanding the cell cycle at the single-cell level is crucial for cellular biology and cancer research. While current methods using fluorescent mar...
Neuromorphic engineering is a research discipline that tries to bridge the gaps between neuroscience and engineering, cognition and algorithms, and na...
Several pieces of evidence have been reported regarding the association between periodontitis and systemic diseases. Despite the emphasized significan...
Age and aging are important predictors of health status, disease progression, drug kinetics, and effects. The purpose was to develop ensemble learning...
In recent years, there has been an increasing interest in developing and using artificial intelligence (AI) models in pathology. Although pathologists...
Erectile Dysfunction (ED) is a form of sexual dysfunction in males that imposes significant health and financial burdens globally. Despite its high pr...
BACKGROUND: As artificial intelligence AI-supported applications become integral to web-based information-seeking, assessing their impact on healthy n...
Age-related macular degeneration (AMD) is the leading cause of blindness in older people in developed countries. It has been suggested that heavy meta...
There is limited evidence that heavy metals exposure contributes to osteoporosis. Multi-parameter scoring machine learning (ML) techniques were develo...
BACKGROUND: This study aimed to understand the collective impact of trace elements, vitamins, cholesterol, and prealbumin on patient outcomes in the i...
Exoskeleton robots enable individuals with impaired physical functions to perform daily activities and maintain independence. However, the discomfort ...
Accurately estimating biological age is beneficial for measuring aging and predicting risk. It is widely accepted that the prevalence of spine compres...
Soft robots have found extensive applications in the medical field, particularly in rehabilitation exercises, assisted grasping, and artificial organs...
This study aims to demonstrate that demographics combined with biometrics can be used to predict obesity related chronic disease risk and produce a he...
This study evaluated the perspectives and educational needs of Canadian oncology residents with regard to artificial intelligence (AI) in medicine, ex...