Latest AI and machine learning research in alternative medicine for healthcare professionals.
The increasing global burden of allergic diseases and multimorbidity underscores the urgent need for...
The study underscores the importance of addressing biases in medical AI models to improve fairness, ...
BACKGROUND: Information overload in electronic health records requires effective solutions to allevi...
The Japanese Kampo medicine Boi-ogi-to (BOT) is known as an effective therapeutic agent for edema an...
In this study, Convolutional Neural Network (CNN), DenseNet121, Inception V3 and ResNet50 machine le...
Timely fire detection in industrial environments is crucial to safeguarding people and property. Dee...
RATIONALE: Walking difficulties are common after a stroke. During rehabilitation, electromechanical ...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into palliative medicine, offeri...
Metadata, or "data about data," is essential for organizing, understanding, and managing large-scale...
The prevalence of dementia is growing worldwide due to the fast ageing of the population. Dementia i...
Despite the rapid proliferation of AI tools, we know little about how people who use them are percei...
BACKGROUND: Medulloblastoma is the most common malignant brain tumor in children, classified into fo...
Pyrrolizidine alkaloids (PAs) are plant toxins occurring in different foodstuffs, including teas, he...
The low proton density and high signal decay rate of pulmonary tissue have previously hampered the a...
Sepsis is a life-threatening condition driven by dysregulated immune responses, resulting in organ d...
BACKGROUND: The emergence of Artificial Intelligence (AI), particularly Chat Generative Pre-Trained ...
Immunotherapy has revolutionized survival outcomes for many patients diagnosed with cancer. However,...
The dental profession has evolved rapidly in recent years-from digital imaging and CAD/CAM restorati...
In the past few years, computed tomography coronary angiography (CTCA) has rapidly become a widely u...
Addressing global environmental conservation problems requires rapidly translating natural and conse...
Phenotypic data are critical for understanding biological mechanisms and consequences of genomic var...