Geriatrics

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

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Showing 1723-1743 of 7,246 articles
Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database.

INTRODUCTION: Many researchers used machine learning (ML) to predict the prognosis of breast cancer ...

[A survey study towards the opinions of clinicians, patients and care partners regarding computer tools in the memory clinic: sense or nonsense?].

INTRODUCTION: Computer tools based on artificial intelligence could aid clinicians in memory clinics...

PRA-Net: Part-and-Relation Attention Network for depression recognition from facial expression.

Artificial intelligence methods are widely applied to depression recognition and provide an objectiv...

ResSKNet-SSDP: Effective and Light End-To-End Architecture for Speaker Recognition.

In speaker recognition tasks, convolutional neural network (CNN)-based approaches have shown signifi...

Precise Discrimination for Multiple Etiologies of Dementia Cases Based on Deep Learning with Electroencephalography.

INTRODUCTION: It is critical to develop accurate and universally available biomarkers for dementia d...

Transfer Learning on Small Datasets for Improved Fall Detection.

Falls in the elderly are associated with significant morbidity and mortality. While numerous fall de...

Deep Learning Analysis of Chest Radiographs to Triage Patients with Acute Chest Pain Syndrome.

Background Patients presenting to the emergency department (ED) with acute chest pain (ACP) syndrome...

Explaining Accurate Predictions of Multitarget Compounds with Machine Learning Models Derived for Individual Targets.

In drug discovery, compounds with well-defined activity against multiple targets (multitarget compou...

A machine-learning algorithm for predicting brain age using Rey-Osterrieth complex figure tests of healthy participants.

OBJECTIVE: Neuropsychologists widely use the Rey-Osterrieth complex figure test (RCFT) as part of ne...

Enhancing Free-Living Fall Risk Assessment: Contextualizing Mobility Based IMU Data.

Fall risk assessment needs contemporary approaches based on habitual data. Currently, inertial measu...

An end-end deep learning framework for lesion segmentation on multi-contrast MR images-an exploratory study in a rat model of traumatic brain injury.

Traumatic brain injury (TBI) engenders traumatic necrosis and penumbra-areas of secondary neural inj...

Deep Learning Multi-Class Approach for Human Fall Detection Based on Doppler Signatures.

Falling events are a global health concern with short- and long-term physical and psychological impl...

Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review.

The growing and aging of the world population have driven the shortage of medical resources in recen...

Prediction of postoperative infection in elderly using deep learning-based analysis: an observational cohort study.

Elderly patients are susceptible to postoperative infections with increased mortality. Analyzing wit...

Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment.

The gap between chronological age (CA) and biological brain age, as estimated from magnetic resonanc...

Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models.

The application of multiple omics technologies in biomedical cohorts has the potential to reveal pat...

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