Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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Showing 3529-3549 of 7,395 articles
Machine Learning Scoring Reveals Increased Frequency of Falls Proximal to Death in Drosophila melanogaster.

Falls are a significant cause of human disability and death. Risk factors include normal aging, neur...

Development of an Assistance Robot for Fall Detection and Reporting in Healthcare.

Falls pose a substantial risk to elderly individuals, especially those over 65, often leading to sev...

GPT-4's performance in supporting physician decision-making in nephrology multiple-choice questions.

Generative Pre-trained Transformer (GPT)-4, a versatile conversational artificial intelligence, has ...

Accuracy of Low-Dose Chest CT-Based Artificial Intelligence Models in Osteoporosis Detection: A Systematic Review and Meta-analysis.

The purpose of this study is to systematically review and evaluate the accuracy of low-dose chest CT...

Digital Diabetes Management Technologies for Type 2 Diabetes: A Systematic Review of Home-Based Care Interventions.

Digital diabetes management technologies (DDMTs) have emerged as promising tools for improving glyce...

Assessing the impact of the TB response in Taiwan - the journey towards ending TB.

The incidence of TB in Taiwan declined by 62% from 2005 to 2023 (i.e., from 73/100,000 to 28/100,000...

In Silico Research Is Rewriting the Rules of Drug Development: Is It the End of Human Trials?

Recent advances in computational biology, artificial intelligence (AI), and regulatory science are r...

Early detection of Alzheimer's disease using deep learning methods.

INTRODUCTION: Alzheimer's disease (AD), a leading cause of dementia, requires early detection for ef...

The long journey of artificial intelligence in medicine: an overview.

Artificial intelligence (AI) has its roots in the history of philosophy and of applied mathematics o...

Predicting Progression to Dementia Using Auditory Verbal Learning Test in Community-Dwelling Older Adults Based On Machine Learning.

BACKGROUND: Primary healthcare institutions find identifying individuals with dementia particularly ...

Knowledge Uncertainty Estimation for Reliable Clinical Decision Support: A Delirium Risk Prognosis Case Study.

INTRODUCTION: Predictive models hold significant potential in healthcare, but their adoption in clin...

WMH-DualTasker: A Weakly Supervised Deep Learning Model for Automated White Matter Hyperintensities Segmentation and Visual Rating Prediction.

White matter hyperintensities (WMH) are neuroimaging markers linked to an elevated risk of cognitive...

Automated Fall Detection in Smart Homes Using Multiple Radars and Machine Learning Classifiers.

Falls pose a significant risk, especially among elderly persons. Recently, radar sensors have been e...

The Pepper Robot in Healthcare: A Scoping Review.

Humanoid robots are increasingly being used in a number of domains. This paper focuses on reviewing ...

The Impact of Artificial Intelligence in Reducing the Cost of Dementia: A Scoping Review.

INTRODUCTION: Dementia is a major cause of disability among the elderly, imposing significant financ...

Applying Data Mining to Predict Perceived Benefits Risks of Robotics at Home for Dementia Caregiving Among African American Families.

We used data mining to predict the attitudes of 527 caregivers towards the pros and cons of using ro...

Automated identification of fall-related injuries in unstructured clinical notes.

Fall-related injuries (FRIs) are a major cause of hospitalizations among older patients, but identif...

Engagement of Older Adults in the Design, Implementation, and Evaluation of Artificial Intelligence Systems for Aging: A Scoping Review.

Integration of artificial intelligence (AI) in health and healthcare, especially for older adults, h...

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