Latest AI and machine learning research in geriatrics for healthcare professionals.
This systematic review examines the prevalence, underlying mechanisms, cohort characteristics, evalu...
Neuropsychiatric symptoms (NPS) and mood disorders are common in individuals with mild cognitive imp...
Heart failure (HF) is a significant global public health concern with a high readmission rate, posin...
BACKGROUND: Emerging technologies such as artificial intelligence (AI) require an early-stage assess...
BACKGROUND: Falls in multiple sclerosis can result in numerous problems, including injuries and func...
Sarcopenia, a prevalent comorbidity of inflammatory bowel disease (IBD), is characterized by diminis...
To explore the value of CT-based radiomics machine learning models for differentiating enchondroma f...
Falls are a major concern for people with Parkinson's disease (PwPD), but accurately assessing real-...
Measuring suicide risk fluctuation remains difficult, especially for high-suicide risk patients. Our...
In this study, we conducted an in-depth exploration of Alzheimer's Disease (AD) by integrating state...
We present a case of a 75-year-old Asian woman with Guillain-Barré syndrome (GBS) who underwent a 1-...
BACKGROUND: The identification of factors involved in the conversion across the different Alzheimer'...
With neuropsychiatric complications recognized among COVID-19 patients translating into significant ...
BACKGROUND AND OBJECTIVE: Real-world data encompass population diversity, enabling insights into chr...
As an integral aspect of health care, digital technology has enabled modelling of complex relationsh...
OBJECTIVES: To develop and externally validate a machine learning-based fall prediction model for am...
The classification of Alzheimer's disease (AD) using deep learning models is hindered by the limited...
Microrobots show great potential in biomedical applications such as drug delivery and cell manipulat...
BACKGROUND: Artificial intelligence (AI) chatbots have the potential to assist individuals with chro...
BACKGROUND: Convolutional neural network (CNN) can capture the structural features changes of brain ...
Deep learning models provide a more powerful method for accurate and stable prediction of water qual...