AIMC Topic: Aged, 80 and over

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Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study.

JMIR aging Jul 15, 2025
BACKGROUND: Dementia is a progressive neurodegenerative condition that affects millions worldwide, often accompanied by agitation and aggression (AA), which contribute to patient distress and increased health care burden. Existing assessment methods ...
Video Recording Psychomotor Agitation Aggression Aged Aged, 80 and over Male Middle Aged Deep Learning Pilot Projects Wearable Electronic Devices Dementia Humans Female
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Mortality and antibiotic timing in deep learning-derived surviving sepsis campaign risk groups: a multicenter study.

Critical care (London, England) Jul 14, 2025
BACKGROUND: The current Surviving Sepsis Campaign (SSC) guidelines provide recommendations on timing of administering antibiotics in sepsis patients based on probability of sepsis and presence of shock. However, there have been minimal efforts to str...
Risk Assessment Deep Learning Sepsis Cohort Studies Aged Aged, 80 and over Male Middle Aged Time Factors Hospital Mortality Mortality Humans Anti-Bacterial Agents Prospective Studies Female
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Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis.

JMIR medical informatics Jul 14, 2025
BACKGROUND: Standardized registries, such as the International Classification of Diseases (ICD) codes, are commonly built using administrative codes assigned to patient encounters. However, patients with fall injury are often coded using subsequent i...
Retrospective Studies Female Aged Aged, 80 and over Humans Hip Fractures Male International Classification of Diseases Accidental Falls Natural Language Processing Registries
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Prediction of gastrointestinal hemorrhage in cardiology inpatients using an interpretable XGBoost model.

Scientific reports Jul 12, 2025
Gastrointestinal bleeding (GIB) occurs more frequently in cardiovascular patients than in the general population, significantly affecting morbidity and mortality. However, existing predictive models often lack sufficient accuracy and interpretability...
Aged, 80 and over Retrospective Studies Male Female Middle Aged Risk Factors Inpatients Risk Assessment Aged Hemoglobins Gastrointestinal Hemorrhage Humans Boosting Machine Learning Algorithms Machine Learning
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Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms.

Scientific reports Jul 12, 2025
Right ventricular dysfunction (RVD) is strongly associated with increased mortality in patients with acute pulmonary embolism (PE), making its early detection crucial. Identifying RVD risk factors rapidly, accurately, and economically within the acut...
Middle Aged Pulmonary Embolism Ventricular Dysfunction, Right Supervised Machine Learning Risk Factors Aged Aged, 80 and over Male Humans Machine Learning Algorithms Female
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Machine learning-based prediction model for post-ERCP cholangitis in patients with malignant biliary obstruction: a retrospective multicenter study.

Surgical endoscopy Jul 9, 2025
BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is the preferred palliative treatment for patients with unresectable malignant biliary obstruction (MBO), which can relieve biliary obstruction and prolong survival. Post-ERCP cholangi...
Postoperative Complications Cholangiopancreatography, Endoscopic Retrograde Cholestasis Cholangitis Aged, 80 and over Male Middle Aged Risk Assessment Machine Learning Retrospective Studies Female Humans Aged
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A machine learning model reveals invisible microscopic variation in acute ischaemic stroke (≤ 6 h) with non-contrast computed tomography.

BMC medical imaging Jul 9, 2025
BACKGROUND: In most medical centers, particularly in primary hospitals, non-contrast computed tomography (NCCT) serves as the primary imaging modality for diagnosing acute ischemic stroke. However, due to the small density difference between the infa...
Middle Aged Ischemic Stroke Diffusion Magnetic Resonance Imaging Female Aged Humans Aged, 80 and over Machine Learning Male Retrospective Studies Tomography, X-Ray Computed
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Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults.

Scientific reports Jul 9, 2025
Multimorbidity has emerged as a significant public health issue in the context of global population aging. Predicting and managing the progression of multimorbidity in the elderly population is crucial. This study aims to develop predictive models fo...
China Aged ROC Curve Aged, 80 and over Longitudinal Studies Humans Male Multimorbidity Machine Learning Middle Aged Female Risk Factors
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Artificial Intelligence-Enabled Facial Privacy Protection for Ocular Diagnosis: Development and Validation Study.

Journal of medical Internet research Jul 9, 2025
BACKGROUND: Facial biometric data, while valuable for clinical applications, poses substantial privacy and security risks.
Aged, 80 and over Young Adult Adult Male Middle Aged Adolescent Child, Preschool Child Humans Artificial Intelligence Female Aged Privacy Face
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Artificial intelligence-assisted nursing in cancer care: A meta-analysis of its impact on pain, anxiety, and quality of life.

Applied nursing research : ANR Jul 8, 2025
BACKGROUND: In recent years, artificial intelligence (AI) applications have been recognized as a supportive technological method for effectively managing the challenges faced by patients with cancer. AI applications are anticipated to be beneficial i...
Artificial Intelligence Female Aged Aged, 80 and over Humans Quality of Life Anxiety Pain Management Oncology Nursing Adult Male Middle Aged Neoplasms
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