Geriatrics

A nurse-driven method for developing artificial intelligence in "smart" homes for aging-in-place.

OBJECTIVES: To offer practical guidance to nurse investigators interested in multidisciplinary resea...

Comparison of Muscular Activity and Movement Performance in Robot-Assisted and Freely Performed Exercises.

End-effector-based robotic systems are, in particular, suitable for extending physical therapy in st...

Artificial intelligence for aging and longevity research: Recent advances and perspectives.

The applications of modern artificial intelligence (AI) algorithms within the field of aging researc...

Machine learning based classification of cells into chronological stages using single-cell transcriptomics.

Age-associated deterioration of cellular physiology leads to pathological conditions. The ability to...

Adversarial MACE Prediction After Acute Coronary Syndrome Using Electronic Health Records.

Acute coronary syndrome (ACS), as an emergent and severe syndrome due to decreased blood flow in the...

Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification.

Mild cognitive impairment (MCI) detection is important, such that appropriate interventions can be i...

Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk.

BACKGROUND: With the development of sequencing technology, more and more long non-coding RNAs (lncRN...

Spectrophotometric flow injection determination of dissolved titanium in seawater exploiting in-line nitrilotriacetic acid resin preconcentration and a long path length liquid waveguide capillary cell.

A sensitive spectrophotometric method for the determination of dissolved titanium (Ti) in seawater i...

Robotically assisted long bone biopsy under MRI: cadaver study results.

RATIONALE AND OBJECTIVES: We have designed and constructed an MR-safe robot made entirely of nonmeta...

Using telepresence for social connection: views of older people with dementia, families, and health professionals from a mixed methods pilot study.

To explore the acceptability of telepresence robots in dementia care from the perspectives of peopl...

Use of a robotic walking aid in rehabilitation to reduce fear of falling is feasible and acceptable from the end user's perspective: A randomised comparative study.

Objectives To determine the acceptability and feasibility of the use of a robotic walking aid to sup...

Non-directed bronchial lavage is a safe method for sampling the respiratory tract in critically ill patient.

Ventilated patients are at risk of acquiring ventilator-associated pneumonia. Various techniques are...

Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms.

We propose to discriminate the pathological grades directly on digital mammograms instead of patholo...

Response to Barry re: Learning Curves and Timing of Surgical Trials: Robotic Kidney Transplantation with Regional Hypothermia by Ahlawat et al. (From: Barry JM. J Endourolo 2018;32:1166; DOI: 1089/end.2018.0419).

Development of an Artificial Intelligence Model to Guide the Management of Blood Pressure, Fluid Volume, and Dialysis Dose in End-Stage Kidney Disease Patients: Proof of Concept and First Clinical Assessment.

BACKGROUND: Fluid volume and blood pressure (BP) management are crucial endpoints for end-stage kidn...

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks.

Magnetic resonance imaging (MRI) has been proposed as a complimentary method to measure bone quality...

Improved model adaptation approach for recognition of reduced-frame-rate continuous speech.

In distributed speech recognition applications, the front-end device that stands for any handheld el...

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using F-FDG PET of the Brain.

Purpose To develop and validate a deep learning algorithm that predicts the final diagnosis of Alzhe...

A unified non-linear approach based on recurrence quantification analysis and approximate entropy: application to the classification of heart rate variability of age-stratified subjects.

This paper presents a unified approach based on the recurrence quantification analysis (RQA) and app...

Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis.

In this article, the authors aim to maximally utilize multimodality neuroimaging and genetic data fo...

Will machine learning end the viability of radiology as a thriving medical specialty?

There have been tremendous advances in artificial intelligence (AI) and machine learning (ML) within...