AIMC Journal:
Medicine
Showing 181 to 190 of 235 articles
Histogram analysis of absolute cerebral blood volume map can distinguish glioblastoma from solitary brain metastasis.
Medicine
Oct 1, 2019
Glioblastoma multiforme (GBM) is difficult to be separated from solitary brain metastasis (sBM) in clinical practice. This study aimed to distinguish two entities by the histogram analysis of absolute cerebral blood volume (CBV) map.From March 2016 t...
Predicting weaning difficulty for planned extubation patients with an artificial neural network.
Medicine
Oct 1, 2019
This study aims to construct a neural network to predict weaning difficulty among planned extubation patients in intensive care units.This observational cohort study was conducted in eight adult ICUs in a medical center about adult patients experienc...
Artificial neural networks-based classification of emotions using wristband heart rate monitor data.
Medicine
Aug 1, 2019
Heart rate variability (HRV) is an objective measure of emotional regulation. This study aimed to estimate the accuracy with which an artificial neural network (ANN) algorithm could classify emotions using HRV data that were obtained using wristband ...
Application of deep learning (3-dimensional convolutional neural network) for the prediction of pathological invasiveness in lung adenocarcinoma: A preliminary study.
Medicine
Jun 1, 2019
To compare results for radiological prediction of pathological invasiveness in lung adenocarcinoma between radiologists and a deep learning (DL) system.Ninety patients (50 men, 40 women; mean age, 66 years; range, 40-88 years) who underwent pre-opera...
Exploring the survival prognosis of lung adenocarcinoma based on the cancer genome atlas database using artificial neural network.
Medicine
May 1, 2019
The aim of this study was to investigate the clinical factors affecting the survival prognosis of lung adenocarcinoma, and to establish a predictive model of survival prognosis of lung adenocarcinoma by artificial neural network.Download the cancer g...
Functional connectivity in multiple sclerosis after robotic rehabilitative treatment: A case report.
Medicine
Apr 1, 2019
RATIONALE: Multiple sclerosis (MS) is an inflammatory demyelinating disease of central nervous system and it is associated with an impaired motor function status. The efficacy of rehabilitation in promoting functional recovery and increasing quality ...
Prediction of ISUP grading of clear cell renal cell carcinoma using support vector machine model based on CT images.
Medicine
Apr 1, 2019
BACKGROUND: To explore whether radiomics combined with computed tomography (CT) images can be used to establish a model for differentiating high grade (International Society of Urological Pathology [ISUP] grade III-IV) from low-grade (ISUP I-II) clea...
The role of robotic gait training and tDCS in Friedrich ataxia rehabilitation: A case report.
Medicine
Feb 1, 2019
RATIONALE: Friedrich ataxia (FA) is the most common inherited neurodegenerative cerebellar ataxic syndrome. In patients with FA, physiotherapy is highly recommended to improve motor function outcome. Cerebellar transcranial direct current stimulation...
Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department.
Medicine
Feb 1, 2019
Early identification of high-risk septic patients in the emergency department (ED) may guide appropriate management and disposition, thereby improving outcomes. We compared the performance of machine learning models against conventional risk stratifi...
Singapore
Female
Heart Rate
Reproducibility of Results
Organ Dysfunction Scores
Systemic Inflammatory Response Syndrome
Aged
ROC Curve
Aged, 80 and over
Socioeconomic Factors
Male
Triage
Humans
Middle Aged
Emergency Service, Hospital
Machine Learning
Severity of Illness Index
Sepsis
Hospital Mortality
A computer-aided diagnosis system using artificial intelligence for the diagnosis and characterization of breast masses on ultrasound: Added value for the inexperienced breast radiologist.
Medicine
Jan 1, 2019
To evaluate the value of the computer-aided diagnosis (CAD) program applied to diagnostic breast ultrasonography (US) based on operator experience.US images of 100 breast masses from 91 women over 2 months (from May to June 2015) were collected and r...
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