Geriatrics

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

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Biohorology and biomarkers of aging: Current state-of-the-art, challenges and opportunities.

The aging process results in multiple traceable footprints, which can be quantified and used to esti...

Application of Generalized Split Linearized Bregman Iteration algorithm for Alzheimer's disease prediction.

In this paper, we applied a novel method for the detection of Alzheimer's disease (AD) based on a st...

Evaluation of haptic devices and end-users: Novel performance metrics in tele-robotic microsurgery.

BACKGROUND: Here, we present performance evaluation methodology that distinguishes the performance o...

Scalable diagnostic screening of mild cognitive impairment using AI dialogue agent.

The search for early biomarkers of mild cognitive impairment (MCI) has been central to the Alzheimer...

A Multi-task Learning Model for Daily Activity Forecast in Smart Home.

Daily activity forecasts play an important role in the daily lives of residents in smart homes. Cate...

Grid-Based Mobile Robot Path Planning Using Aging-Based Ant Colony Optimization Algorithm in Static and Dynamic Environments.

Planning an optimal path for a mobile robot is a complicated problem as it allows the mobile robots ...

Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning.

BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder and characterized by the cognit...

Alzheimer's disease, mild cognitive impairment, and normal aging distinguished by multi-modal parcellation and machine learning.

A 360-area surface-based cortical parcellation is extended to study mild cognitive impairment (MCI) ...

Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks.

Recognizing human physical activities using wireless sensor networks has attracted significant resea...

Review of Stereo Matching Algorithms Based on Deep Learning.

Stereo vision is a flourishing field, attracting the attention of many researchers. Recently, levera...

Human vs. machine: the psychological and behavioral consequences of being compared to an outperforming artificial agent.

While artificial agents (AA) such as Artificial Intelligence are being extensively developed, a popu...

Multi-modular AI Approach to Streamline Autism Diagnosis in Young Children.

Autism has become a pressing healthcare challenge. The instruments used to aid diagnosis are time an...

DeeplyTough: Learning Structural Comparison of Protein Binding Sites.

Protein pocket matching, or binding site comparison, is of importance in drug discovery. Identificat...

Identifying Lung Cancer Risk Factors in the Elderly Using Deep Neural Networks: Quantitative Analysis of Web-Based Survey Data.

BACKGROUND: Lung cancer is one of the most dangerous malignant tumors, with the fastest-growing morb...

Value of a Machine Learning Approach for Predicting Clinical Outcomes in Young Patients With Hypertension.

Risk stratification of young patients with hypertension remains challenging. Generally, machine lear...

Deep-learning- and pharmacophore-based prediction of RAGE inhibitors.

The receptor for advanced glycation end products (RAGE) has been identified as a therapeutic target ...

Age-specific reference ranges of prostate-specific antigen in the elderly of Amirkola: A population-based study.

OBJECTIVE: To determine the age-specific reference ranges of prostate-specific antigen (PSA) in the ...

Postanesthesia care unit delirium following robot-assisted vs open retropubic radical prostatectomy: A prospective observational study.

BACKGROUND: The aim of this study was to compare the incidence of early postoperative delirium in th...

BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets.

Understanding how cognitive functions emerge from brain structure depends on quantifying how discret...

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