Hospital-Based Medicine

Risk Management

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

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A robotic protocol for high-throughput processing of samples for selected reaction monitoring assays.

Selected reaction monitoring mass spectrometry (SRM-MS) is a sensitive and accurate method for the q...

Toxoplasma gondii transmission by artificial insemination in sheep with experimentally contaminated frozen semen.

Toxoplasma gondii is a parasite considered one of the major causes of reproductive problems in sheep...

Proof-of-Principle of rTLC, an Open-Source Software Developed for Image Evaluation and Multivariate Analysis of Planar Chromatograms.

High-performance thin-layer chromatography (HPTLC) is an advantageous analytical technique for analy...

A Natural Language Processing-based Model to Automate MRI Brain Protocol Selection and Prioritization.

RATIONALE AND OBJECTIVES: Incorrect imaging protocol selection can contribute to increased healthcar...

Quantitative EEG Evaluation During Robot-Assisted Foot Movement.

Passiveand imagined limbmovements induce changes in cerebral oscillatory activity. Central modulator...

Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data.

Machine learning approaches have been widely used for the identification of neuropathology from neur...

Knowledge Translation Interventions to Improve the Timing of Dialysis Initiation: Protocol for a Cluster Randomized Trial.

BACKGROUND: Early initiation of chronic dialysis (starting dialysis with higher vs lower kidney func...

EEG Analysis During Active and Assisted Repetitive Movements: Evidence for Differences in Neural Engagement.

Two key ingredients of a successful neuro-rehabilitative intervention have been identified as intens...

Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes.

Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of ...

ADMET Evaluation in Drug Discovery. 16. Predicting hERG Blockers by Combining Multiple Pharmacophores and Machine Learning Approaches.

Blockade of human ether-à-go-go related gene (hERG) channel by compounds may lead to drug-induced QT...

Validation of artificial neural network models for predicting biochemical markers associated with male infertility.

UNLABELLED: Seminal fluid is the secretion from many glands comprised of several organic and inorgan...

Learning temporal rules to forecast instability in continuously monitored patients.

Inductive machine learning, and in particular extraction of association rules from data, has been su...

Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks.

Ventilation treatment of acute lung injury (ALI) requires the application of positive airway pressur...

State estimation for a class of artificial neural networks with stochastically corrupted measurements under Round-Robin protocol.

This paper is concerned with the state estimation problem for a class of artificial neural networks ...

Effects on mobility training and de-adaptations in subjects with Spinal Cord Injury due to a Wearable Robot: a preliminary report.

BACKGROUND: Spinal cord injury (SCI) is a severe neurological disorder associated not only with ongo...

Age-Related Changes in Dynamic Postural Control and Attentional Demands are Minimally Affected by Local Muscle Fatigue.

Normal aging results in alterations in the visual, vestibular and somtaosensory systems, which in tu...

eNAL++: a new and effective off-line correction protocol for rotational setup errors when using a robotic couch.

Cone-beam CTs (CBCTs) installed on a linear accelerator can be used to provide fast and accurate aut...

Characterization of the Context of Drug Concepts in Research Protocols: An Empiric Study to Guide Ontology Development.

We examined a large body of research study documents (protocols) to identify mentions of drug concep...

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