Geriatrics

Elderly Patients' Outcomes After Robot-Assisted Radical Prostatectomy: A Single Center Experience.

To assess the oncological and functional outcomes of patients aged 70 years or older after robot-as...

Robotic self-modulation enhances implantable long-acting drug delivery devices.

Integrating fibrotic capsule sensing with soft robotics may boost long-term performance of implantab...

Early Prediction of Progression to Alzheimer's Disease using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacer.

Machine learning has shown great promise for integrating multi-modality neuroimaging datasets to pre...

Artificial intelligence for dementia research methods optimization.

Artificial intelligence (AI) and machine learning (ML) approaches are increasingly being used in dem...

Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study.

BACKGROUND: Early identification of dementia is crucial for prompt intervention for high-risk indivi...

Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on a Norwegian imaging database.

An important step in the analysis of magnetic resonance imaging (MRI) data for neuroimaging is the a...

Investigating the effectiveness of socially assistive robot on depression and cognitive functions of community dwelling older adults with cognitive impairments.

We evaluated a socially assistive robot (SAR) named Hyodol during a six-week intervention. This stud...

Artificial intelligence for dementia genetics and omics.

Genetics and omics studies of Alzheimer's disease and other dementia subtypes enhance our understand...

Machine learning with multimodal neuroimaging data to classify stages of Alzheimer's disease: a systematic review and meta-analysis.

In recent years, Alzheimer's disease (AD) has been a serious threat to human health. Researchers and...

Artificial intelligence for dementia drug discovery and trials optimization.

Drug discovery and clinical trial design for dementia have historically been challenging. In part th...

Deep learning-based assessment of CT markers of sarcopenia and myosteatosis for outcome assessment in patients with advanced pancreatic cancer after high-intensity focused ultrasound treatment.

OBJECTIVES: To evaluate the prognostic value of CT-based markers of sarcopenia and myosteatosis in c...

Can dexamethasone improve postoperative sleep and postoperative delirium in elderly patients undergoing robot-assisted laparoscopic radical prostatectomy? Protocol for a prospective, randomized, double-blind, controlled study.

BACKGROUND: Perioperative sleep disorders (PSD) are an independent risk factor for postoperative del...

Deep-learning model for predicting physical fitness in possible sarcopenia: analysis of the Korean physical fitness award from 2010 to 2023.

INTRODUCTION: Physical fitness is regarded as a significant indicator of sarcopenia. This study aime...

Editorial Comment: Implementing an End-to-End Deep Learning Model in the Task of Differentiating Pure Ground-Glass Nodules on Chest CT.

Potential Facilitators of and Barriers to Implementing the MINI Robot in Community-Based Meeting Centers for People With Dementia and Their Carers in the Netherlands and Spain: Explorative Qualitative Study.

BACKGROUND: Social robots, as a form of digital health technologies, are used to support emotional, ...

Sex estimation from long bones: a machine learning approach.

Sex estimation from skeletal remains is one of the crucial issues in forensic anthropology. Long bon...

Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer.

IMPORTANCE: Sarcopenia is an established prognostic factor in patients with head and neck squamous c...

Emerging Applications for Computer Vision and Artificial Intelligence in Management of the Cardiovascular Patient.

Artificial intelligence and telemedicine promise to reshape patient care to an unprecedented extent,...

Application of Social Robots in Healthcare: Review on Characteristics, Requirements, Technical Solutions.

Cyber-physical or virtual systems or devices that are capable of autonomously interacting with human...

An alternative method of SNP inclusion to develop a generalized polygenic risk score analysis across Alzheimer's disease cohorts.

INTRODUCTION: Polygenic risk scores (PRSs) have great clinical potential for detecting late-onset di...

AEAU-Net: an unsupervised end-to-end registration network by combining affine transformation and deformable medical image registration.

Deformable medical image registration plays an essential role in clinical diagnosis and treatment. H...