Latest AI and machine learning research in geriatrics for healthcare professionals.
RATIONALE AND OBJECTIVES: To develop and validate a predictive model for osteoporosis and osteopenia...
Accurate diagnosis and prognosis prediction are conducive to early intervention and improvement of m...
BACKGROUND: Dementia is a leading cause of disability in people older than 65Â years worldwide. Howev...
Bone metastasis, emerging oncological therapies, and osteoporosis represent some of the distinct cli...
Accurate reconstruction of a high-resolution 3D volume of the heart is critical for comprehensive ca...
BACKGROUND: Falls and their consequences are a serious public health problem worldwide. Each year, 3...
Dementia is characterized by a progressive loss of cognitive abilities, and diagnosing its early sta...
STUDY OBJECTIVE: Postoperative delirium is a neuropsychological syndrome that typically occurs in su...
To better assess the pathology of neurodegenerative disorders and the efficacy of neuroprotective in...
Osteoporosis is a common condition that can lead to fractures, mobility issues, and death. Although ...
BACKGROUND: Osteoporosis is becoming more common worldwide, imposing a substantial burden on individ...
Elderly patients infected with severe acute respiratory syndrome coronavirus 2 are at higher risk of...
Inherited arrhythmia disorders account for a significant proportion of sudden cardiac death, particu...
BACKGROUND: Anxiety disorders are among the most common mental health disorders in the middle aged a...
Task-adapted image reconstruction methods using end-to-end trainable neural networks (NNs) have been...
Labelling medical images is an arduous and costly task that necessitates clinical expertise and larg...
OBJECTIVES: Impaired perivascular clearance has been suggested as a contributing factor to the patho...
The challenge of elderly care presents a formidable task, demanding the collective attention of gove...
Humanoid robots that can autonomously operate in diverse environments have the potential to help add...
Human Activity Recognition (HAR) refers to a field that aims to identify human activities by adoptin...
In this work, a Python framework for characteristic feature extraction is developed and applied to g...