Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,821 to 1,830 of 165,003 articles

Developing and validating machine learning models to predict next-day extubation.

Scientific reports
Criteria to identify patients who are ready to be liberated from mechanical ventilation (MV) are imprecise, often resulting in prolonged MV or reintubation, both of which are associated with adverse outcomes. Daily protocol-driven assessment of the n... read more 

Cluster Analysis Reveals Subgroups with Different Risk Profiles and Sickness Absence Patterns in an Occupational Health Cohort.

Journal of occupational rehabilitation
PURPOSE: Using unsupervised and supervised machine learning methods, we aimed to identify clinically relevant groups of employees with similar characteristics and analyze the association of long and short sickness absence periods with these groups. read more 

The mediating effects of technology trust and perceived value in the relationship between eHealth literacy and attitude toward the usage of artificial intelligence in nursing: a cross-sectional study.

BMC nursing
BACKGROUND: Attitude toward the usage of artificial intelligence in nursing directly affect nurses' technology adoption behavior. Positive attitude toward the usage of artificial intelligence can help nurses analyze large data sets and propose potent... read more 

Nondestructive freshness recognition of chicken breast meat based on deep learning.

Scientific reports
Identifying chicken breast freshness is an important component of poultry food safety. Traditional methods for chicken breast freshness recognition suffer from issues such as high cost, difficulty in recognition, and low efficiency. In this study, th... read more 

The application and predictive value of the weight-adjusted-waist index in BC prevalence assessment: a comprehensive statistical and machine learning analysis using NHANES data.

BMC cancer
BACKGROUND: Obesity is a known risk factor for breast cancer (BC), but conventional metrics such as body mass index (BMI) may insufficiently capture central adiposity. The weight-adjusted waist index (WWI) has emerged as a potentially superior anthro... read more 

Application of MobileNet and Xception neural networks to identify Sillago sihama populations in Vietnam's coastal waters based on otolith morphology.

Journal of fish biology
Classification of Indo-Pacific whiting (Sillago sihama) from three coastal regions of Vietnam revealed distinct population structures using otolith morphology. All three analytical approaches - traditional morphometrics using basic dimensional parame... read more 

Classifying social and physical pain from multimodal physiological signals using machine learning.

Scientific reports
Accurate pain assessment is essential for effective management; however, most studies have focused on differentiating pain from non-pain or estimating pain intensity rather than distinguishing between distinct pain types. We present a machine learnin... read more 

Evaluation and analysis of risk factors for fractured vertebral recompression post-percutaneous kyphoplasty: a retrospective cohort study based on logistic regression analysis.

BMC musculoskeletal disorders
BACKGROUND: Vertebral recompression after percutaneous kyphoplasty (PKP) for osteoporotic vertebral compression fractures (OVCFs) may lead to recurrent pain, deformity, and neurological impairment, compromising prognosis and quality of life. read more 

Integrative transcriptomics and metabolomics reveal neuroendocrine-lipid crosstalk and adenosine signaling in broiler under heat stress.

BMC genomics
BACKGROUND: Heat stress (HS) is a significant challenge in poultry, negatively impacting feed efficiency and survival. These adaptive responses could lead to disrupted lipid metabolism, impaired immunity, and neural damage. We hypothesized that the n... read more