AIMC Topic: Aged, 80 and over

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Protocol for the REBOUND study: a cohort study to uncover fundamental mechanisms of accelerated ageing and impaired resilience following cancer surgery and treatment.

BMC geriatrics Jul 8, 2025
BACKGROUND: Ageing is a heterogeneous process, which is associated with heterogeneous resilience in older people. Cancer surgery and treatment may be associated with accelerated ageing in some older people; studying this process will improve understa...
Resilience, Psychological Cohort Studies Male Aging Neoplasms Female Quality of Life Aged Aged, 80 and over Colorectal Neoplasms Humans
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Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis.

JMIR aging Jul 8, 2025
BACKGROUND: In order to address fall underestimation by the International Classification of Diseases (ICD) in clinical settings, information from clinical notes could be incorporated via natural language processing (NLP) as a possible solution. Howev...
Retrospective Studies Electronic Health Records Female Hospitalization Humans Algorithms Inpatients Aged Natural Language Processing Hong Kong Aged, 80 and over International Classification of Diseases Male Accidental Falls
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Gender difference in cross-sectional area and fat infiltration of thigh muscles in the elderly population on MRI: an AI-based analysis.

European radiology experimental Jul 7, 2025
BACKGROUND: Aging alters musculoskeletal structure and function, affecting muscle mass, composition, and strength, increasing the risk of falls and loss of independence in older adults. This study assessed cross-sectional area (CSA) and fat infiltrat...
Adipose Tissue Thigh Sex Factors Absorptiometry, Photon Female Aged Aged, 80 and over Male Middle Aged Deep Learning Magnetic Resonance Imaging Muscle, Skeletal Humans Retrospective Studies
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Quantitative Research on Digitalized Treatment Options for Older Adults With Mental Illness: Scoping Review.

JMIR mental health Jul 7, 2025
BACKGROUND: Older adults with mental illness face specific physical and psychosocial challenges and inequities, reflected in limited access to advanced technology. This digital divide is alarming as mental health interventions increasingly depend on ...
Humans Mental Disorders Aged Aged, 80 and over Adult Middle Aged Telemedicine
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Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients: the Dutch Hip Fracture Audit algorithms in 74,396 cases.

Acta orthopaedica Jul 7, 2025
BACKGROUND AND PURPOSE:  Treatment-related shared decision-making (SDM) in older adults with hip fractures is complex due to the need to balance patient-specific factors such as life goals, frailty, and surgical risks. It includes considerations such...
Machine Learning Algorithms Retrospective Studies Female Humans Netherlands Aged Hip Fractures Aged, 80 and over Decision Making, Shared Male Registries
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Early warning and stratification of the elderly cardiopulmonary dysfunction-related diseases: multicentre prospective study protocol.

BMJ open Jul 5, 2025
INTRODUCTION: In China, there is a lack of standardised clinical imaging databases for multidimensional evaluation of cardiopulmonary diseases. To address this gap, this study protocol launched a project to build a clinical imaging technology integra...
Humans Prospective Studies Tomography, X-Ray Computed Female Aged China Early Warning Score Aged, 80 and over Multicenter Studies as Topic Cross-Sectional Studies Exercise Test Male Lung Diseases Echocardiography
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Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China.

BMJ open Jul 5, 2025
OBJECTIVE: To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced decision-making and targeted health management in integrat...
Frail Elderly Geriatric Assessment Risk Assessment China Frailty Humans Aged Machine Learning Aged, 80 and over Female Cross-Sectional Studies Male
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Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model.

BMC cardiovascular disorders Jul 4, 2025
BACKGROUND: Heart failure and atrial fibrillation (HF-AF) frequently coexist, resulting in complex interactions that substantially elevate mortality risk. This study aimed to develop and validate a machine learning (ML) model predicting the 3-year al...
Aged Aged, 80 and over Male Middle Aged Retrospective Studies Risk Assessment Heart Failure Humans Female Time Factors Atrial Fibrillation Machine Learning Reproducibility of Results Predictive Value of Tests Boosting Machine Learning Algorithms Decision Support Techniques Risk Factors Cause of Death Prognosis
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Assessment of established prognostic factors and artificial intelligence-based evaluation of tumor-infiltrating lymphocytes in oral tongue squamous cell carcinoma.

Oral oncology Jul 3, 2025
BACKGROUND: Traditional risk assessment for tongue cancer relies on clinicopathological parameters. Although tumor-infiltrating lymphocytes (TILs) are promising prognostic markers, their evaluation lacks standardization. This study aimed to validate ...
Middle Aged Lymphocytes, Tumor-Infiltrating Tongue Neoplasms Aged Aged, 80 and over Adult Male Artificial Intelligence Prognosis Female Carcinoma, Squamous Cell Humans
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Exploring the complex associations between community public spaces and healthy aging: an explainable analysis using catboost and SHAP.

BMC public health Jul 2, 2025
BACKGROUND: As global aging accelerates, community public spaces (CPS) are increasingly recognized as vital for promoting healthy aging. However, existing research often employs linear analytical methods or focuses on single health dimensions, overlo...
China Aged Humans Residence Characteristics Machine Learning Boosting Machine Learning Algorithms Aged, 80 and over Female Healthy Aging Male Middle Aged
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