Geriatrics

Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network.

Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-parameter...

The Long and Winding Triage Road.

Infection prevention and control challenges of using a therapeutic robot.

This work was part of a National Institute for Health Research participatory action research and pra...

Design and analysis of a novel fall prevention device for lower limbs rehabilitation robot.

BACKGROUND: Most stroke survivors are suffering from physical motor impairments and confronting with...

Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation.

In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based ...

Correlation of Parathyroid Hormone Levels with Mineral Status in End-stage Renal Disease Patients.

UNLABELLED: Parathyroid hormone (PTH) is the main regulator of calcium, phosphate, magnesium, sodium...

Altered Expression Patterns of the Sumoylation Enzymes E1, E2 and E3 Are Associated with Glucose Oxidase- and UVA-Induced Cataractogenesis.

PURPOSE: Protein sumoylation is a well established regulatory mechanism that regulates chromatin str...

Origins of Robotic Surgery: From Skepticism to Standard of Care.

BACKGROUND AND OBJECTIVES: The uses of robotics in surgery were hypothesized as far back as 1967, bu...

Femur segmentation in DXA imaging using a machine learning decision tree.

BACKGROUND: Accurate measurement of bone mineral density (BMD) in dual-energy X-ray absorptiometry (...

Machine Learning to Identify Behavioral Determinants of Oral Health in Inner City Older Hispanic Adults.

We applied machine learning techniques to a community-based behavioral dataset to build prediction m...

Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models.

The use of electronic health records for risk prediction models requires a sufficient quality of inp...

On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.

Digitalisation of health care for the purpose of medical documentation lead to huge amounts of data,...

Machine Learning-based Virtual Screening and Its Applications to Alzheimer's Drug Discovery: A Review.

BACKGROUND: Virtual Screening (VS) has emerged as an important tool in the drug development process,...

Development of Teaching Materials of Dementia by Incorporating a Communications Robot for Schoolchildren Who Are Dementia Supporters.

In this study, we aimed to teach elementary school students how to practically deal with elderly peo...

Letter to editor: Nanorobots the Future of Neurology: A Perspective on Alzheimer's Disease.

Data Mining and Machine Learning Methods for Dementia Research.

Patient data in clinical research often includes large amounts of structured information, such as ne...

Network pharmacology-based analysis of Chinese herbal Naodesheng formula for application to Alzheimer's disease.

Naodesheng (NDS) formula, which consists of Rhizoma Chuanxiong, Lobed Kudzuvine, Carthamus tinctoriu...

Letter to the editor: Dementia: Creating a Knowledge-Based Healthcare Profession.

Upper limb robot-assisted therapy in subacute and chronic stroke patients using an innovative end-effector haptic device: A pilot study.

BACKGROUND: Significant results have been shown when an upper limb robot-assisted rehabilitation is ...

A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer's Disease Conversion in Individuals with Mild and Premild Cognitive Impairment.

BACKGROUND: Available therapies for Alzheimer's disease (AD) can only alleviate and delay the advanc...

Use of a human-type communication robot to evaluate the categorized communicative ability of older adults with dementia.