Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

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Can a Robot Bring Your Life Back? A Systematic Review for Robotics in Rehabilitation.

Stroke is a leading cause of disability in the world and the use of robots in rehabilitation has bec...

Validation of a robot serious game assessment protocol for upper limb motor impairment in children with cerebral palsy.

BACKGROUND: The ROBiGAME project aims to implement serious games on robots to rehabilitate upper lim...

A Cell Segmentation/Tracking Tool Based on Machine Learning.

The ability to gain quantifiable, single-cell data from time-lapse microscopy images is dependent up...

Personalized Pancreatic Cancer Management: A Systematic Review of How Machine Learning Is Supporting Decision-making.

This review critically analyzes how machine learning is being used to support clinical decision-maki...

Development of a robotic upper limb assessment to configure a serious game.

BACKGROUNDROBiGAME project aims to implement serious games on robots to rehabilitate upper limb (UL)...

Data Profiling in Support of Entity Resolution of Multi-Institutional EHR Data.

Information Quality (IQ) is a core tenant of contemporary data management practices. Across many dis...

Evaluation of a protocol for reducing the microbial contamination of dental unit water.

Biofilm on dental unit waterlines can spread microbial contamination in the water. The aim of this s...

Machine learning methods for automatic pain assessment using facial expression information: Protocol for a systematic review and meta-analysis.

INTRODUCTION: Prediction of pain using machine learning algorithms is an emerging field in both comp...

The economic cost of robotic rehabilitation for adult stroke patients: a systematic review protocol.

The objective of this review is to identify the best available evidence on the economic cost of robo...

Using machine learning for sequence-level automated MRI protocol selection in neuroradiology.

Incorrect imaging protocol selection can lead to important clinical findings being missed, contribut...

[Robotization of the human under the law].

The robotization of the human implies a more or less intimate hybridization with the machine. When i...

Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography.

Electronic cleansing (EC) is used for computational removal of residual feces and fluid tagged with ...

Metadata Import from RDF to i2b2.

Metadata management is an important task in medical informatics and highly affects the gain out of e...

Quality Control for High-Throughput Imaging Experiments Using Machine Learning in Cellprofiler.

Robust high-content screening of visual cellular phenotypes has been enabled by automated microscopy...

[Artificial intelligence in medicine: limits and obstacles.].

Data scientists and physicians are starting to use artificial intelligence (AI) even in the medical ...

Simultaneous estimation of human and exoskeleton motion: A simplified protocol.

Adequate benchmarking procedures in the area of wearable robots is gaining importance in order to co...

Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics.

During the past 60 years scientific research proposed many techniques to control robotic hand prosth...

Robotic set-up to quantify hand-eye behavior in motor execution and learning of children with autism spectrum disorder.

Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a pers...

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