AIMC Topic: Time Factors

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Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.

Medical physics
PURPOSE: Segmentation of brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is crucial for brain structural measurement and disease diagnosis. Learning-based segmentation methods depend largel...

A Randomized Controlled Trial Study on the Effect of Adding Dexmedetomidine to Bupivacaine in Supraclavicular Block Using Ultrasound Guidance.

Ethiopian journal of health sciences
BACKGROUND: The benefits of regional anesthetic techniques are well established. Use of additives to local anesthetics can prolong these benefits. The aim of this study was to find out the effect of adding dexmedetomidine to bupivacaine for supraclav...

Rapid, portable and cost-effective yeast cell viability and concentration analysis using lensfree on-chip microscopy and machine learning.

Lab on a chip
Monitoring yeast cell viability and concentration is important in brewing, baking and biofuel production. However, existing methods of measuring viability and concentration are relatively bulky, tedious and expensive. Here we demonstrate a compact an...

Virological and immunological outcomes to antiretroviral therapy in HIV-infected patients of an academic medical center in Chile.

Revista chilena de infectologia : organo oficial de la Sociedad Chilena de Infectologia
INTRODUCTION: Red Salud UC is an Academic health network where HIV-infected patients from the public and private health system are followed by a multidisplinary team.

Robot-assisted segmental resection of tubal pregnancy followed by end-to-end reanastomosis for preserving tubal patency and fertility: An initial report.

Medicine
The objective of this study was to evaluate whether robotic tubal reanastomosis after segmental resection of tubal pregnancy is a feasible means of preserving tubal integrity and natural fertility in those with compromised contralateral tubal conditi...

Improving odorant chemical class prediction with multi-layer perceptrons using temporal odorant spike responses from drosophila melanogaster olfactory receptor neurons.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
In this work, we examine the possibility of improving the prediction performance of an olfactory biosensor through the use of temporal spiking data. We present an Artificial Neural Network (ANN), in the form of an optimal hybrid Multi-Layer Perceptro...

Support vector machine classification of Parkinson's disease and essential tremor subjects based on temporal fluctuation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Tremor is a common symptom shared in both Parkinson's disease (PD) and Essential tremor (ET) subjects. The differential diagnosis of PD and ET tremor is important since the realization of treatment depends on specific medication. A novel feature is d...

Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
A novel method for efficient telemonitoring of arrhythmia based on using QRS complexes is proposed. Two features, namely, sum of absolute differences (SAD) and maximum of absolute differences (MAD) are efficiently computed for each ECG segment in the...

Prediction using patient comparison vs. modeling: a case study for mortality prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Information in Electronic Medical Records (EMRs) can be used to generate accurate predictions for the occurrence of a variety of health states, which can contribute to more pro-active interventions. The very nature of EMRs does make the application o...