AIMC Topic: Frailty

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Machine Learning Analysis Reveals Novel Neuroimaging and Clinical Signatures of Frailty in HIV.

Journal of acquired immune deficiency syndromes (1999)
BACKGROUND: Frailty is an important clinical concern for the aging population of people living with HIV (PLWH). The objective of this study was to identify the combination of risk features that distinguish frail from nonfrail individuals.

Deep Learning Analysis of Cerebral Blood Flow to Identify Cognitive Impairment and Frailty in Persons Living With HIV.

Journal of acquired immune deficiency syndromes (1999)
BACKGROUND: Deep learning algorithms of cerebral blood flow were used to classify cognitive impairment and frailty in people living with HIV (PLWH). Feature extraction techniques identified brain regions that were the strongest predictors.

Anticoagulant treatment in elderly patients with atrial fibrillation: a position paper.

Geriatrie et psychologie neuropsychiatrie du vieillissement
Atrial fibrillation (AF) is common in the elderly. The treatment of this condition is based on anticoagulation to prevent stroke and systemic arterial embolism. Vitamin K antagonists (VKAs) have long been the only anticoagulants available for the man...

Machine Learning based Physical Human-Robot Interaction for Walking Support of Frail People.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
In the near future robots will permeate our daily life empowering human beings in several activities of daily living. Particular, service robots could actively support indoor mobility tasks thus to enhance the independent living of citizens. They sho...

Artificial intelligence, osteoporosis and fragility fractures.

Current opinion in rheumatology
PURPOSE OF REVIEW: Artificial intelligence tools have found new applications in medical diagnosis. These tools have the potential to capture underlying trends and patterns, otherwise impossible with previous modeling capabilities. Machine learning an...

Technology in geriatrics.

Age and ageing
Recently, the interest of industry, government agencies and healthcare professionals in technology for aging people has increased. The challenge is whether technology may play a role in enhancing independence and quality of life and in reducing indiv...