AIMC Topic: Geriatric Assessment

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Robot-assisted therapy for improving social interactions and activity participation among institutionalized older adults: a pilot study.

Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists
INTRODUCTION: Animal-assisted therapy is gaining popularity as part of therapeutic activities for older adults in many long-term care facilities. However, concerns about dog bites, allergic responses to pets, disease, and insufficient available resou...

Machine learning approaches for predicting prolonged hospital length of stay after lumbar fusion surgery in patients aged 75 years and older: a retrospective cohort study based on comprehensive geriatric assessment.

Neurosurgical focus
OBJECTIVE: Postoperative recovery following lumbar fusion surgery in patients aged 75 years and older often requires a prolonged length of stay (PLOS) in the hospital. Accurately predicting the risk of PLOS and assessing its risk factors for preopera...

Interpretable machine learning models to predict decline in intrinsic capacity among older adults in China: a prospective cohort study.

Maturitas
BACKGROUND: Monitoring intrinsic capacity and implementing appropriate interventions can support healthy aging. There are, though, few tools available for predicting decline in intrinsic capacity among older adults. This study aimed to develop and va...

[Geriatric Assessment in the Hospital - An Overview of Clinical Guidelines].

Deutsche medizinische Wochenschrift (1946)
According to forecasts, 27 % of the German population will be aged 65 or over by 2050. Age-associated multimorbidity, functional impairment and need for care have a considerable impact on the healthcare system. A comprehensive geriatric assessment (C...

Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors.

Scientific reports
Cognitive frailty (CF), a clinical syndrome involving both physical frailty (PF) and impaired cognition (IC), is associated with adverse health outcomes in older adults. This study aimed to identify key predictors of CF and develop a machine learning...

Update on the detection of frailty in older adults: a multicenter cohort machine learning-based study protocol.

Aging
BACKGROUND: This study aims to investigate the relationship between muscle activation variables assessed via ultrasound and the comprehensive assessment of geriatric patients, as well as to analyze ultrasound images to determine their correlation wit...

A Natural and Unobtrusive Conversation Using a RASA-Driven Chatbot for Monitoring the Wellbeing of Elderlies.

Studies in health technology and informatics
This paper investigates the development and evaluation of a chatbot for administering the EQ5D questionnaire with a focus on improving user experience and ease of completion. To achieve this, the chatbot employs an open-source conversational AI envir...

Construction of disability risk prediction model for the elderly based on machine learning.

Scientific reports
The study aimed to develop a predictive model using machine learning algorithms, providing healthcare professionals with a novel tool for assessing disability risk in older adults. Data from the 2018 and 2020 waves of the China Health and Retirement ...