Stem Cell Research

Intensive upper limb therapy including a robotic device after surgically repaired brachial plexus injury: a case study.

DrugR+: A comprehensive relational database for drug repurposing, combination therapy, and replacement therapy.

Drug repurposing or repositioning, which introduces new applications of the existing drugs, is an em...

Identifying Children With Clinical Language Disorder: An Application of Machine-Learning Classification.

In this study, we identified child- and family-level characteristics most strongly associated with c...

Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI.

PURPOSE: To predict the neoadjuvant chemoradiation therapy (CRT) response in patients with locally a...

Combination of Exoskeletal Upper Limb Robot and Occupational Therapy Improve Activities of Daily Living Function in Acute Stroke Patients.

PURPOSE: Previous studies have suggested that upper limb rehabilitation using therapeutic robots imp...

Knowledge development, technology and questions of nursing ethics.

This article explores emerging ethical questions that result from knowledge development in a complex...

Effectiveness of upper-limb robotic-assisted therapy in the early rehabilitation phase after stroke: A single-blind, randomised, controlled trial.

BACKGROUND: Upper-limb robotic-assisted therapy (RAT) is promising for stroke rehabilitation, partic...

Coverage of ethics within the artificial intelligence and machine learning academic literature: The case of disabled people.

Disabled people are often the anticipated users of scientific and technological products and process...

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop.

Imaging research laboratories are rapidly creating machine learning systems that achieve expert huma...

Will Favourable Functional Results with Salvage Robot-assisted Laparoscopic Radical Prostatectomy Increase the Uptake of Primary Focal Therapy for Localised Prostate Cancer?

Upper limb robot-assisted rehabilitation versus physical therapy on subacute stroke patients: A follow-up study.

This study aims to analyse the long-term effects (6 months follow-up) of upper limb Robot-assisted T...

Dosimetric study on learning-based cone-beam CT correction in adaptive radiation therapy.

INTRODUCTION: Cone-beam CT (CBCT) image quality is important for its quantitative analysis in adapti...

Low-Invasive Cell Injection based on Rotational Microrobot.

The advancement of cell injections has created a need for accurate, efficient, and low-invasive inje...

Robot-assisted therapy for balance function rehabilitation after stroke: A systematic review and meta-analysis.

OBJECTIVE: To identify the rehabilitative effects of robot-assisted therapy on balance function amon...

Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma.

Background Nasopharyngeal carcinoma (NPC) may be cured with radiation therapy. Tumor proximity to cr...

A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning.

In this paper we present a method for simultaneously segmenting brain tumors and an extensive set of...

Swarm-Fuzzy Rule-Based Targeted Nano Delivery Using Bioinspired Nanomachines.

Cooperative navigation and swarm decision making take center stage in a broad range of distributed a...

Governance of automated image analysis and artificial intelligence analytics in healthcare.

The hype over artificial intelligence (AI) has spawned claims that clinicians (particularly radiolog...

Medical ethics considerations on artificial intelligence.

Artificial intelligence (AI) is currently one of the mostly controversial matters of the world. This...

Deep Learning Neural Networks Highly Predict Very Early Onset of Pluripotent Stem Cell Differentiation.

Deep learning is a significant step forward for developing autonomous tasks. One of its branches, co...

[Ethics and artificial intelligence in health: The emergency of an integrated approach].