AI Medical Compendium Journal:
Physical and engineering sciences in medicine

Showing 71 to 80 of 88 articles

The perceptions of medical physicists towards relevance and impact of artificial intelligence.

Physical and engineering sciences in medicine Jul 20, 2021
Artificial intelligence (AI) is an innovative tool with the potential to impact medical physicists' clinical practices, research, and the profession. The relevance of AI and its impact on the clinical practice and routine of professionals in medical ...
Surveys and Questionnaires Perception Knowledge Artificial Intelligence Educational Status Humans
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Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning.

Physical and engineering sciences in medicine May 27, 2021
Early diagnosis of attention deficit and hyperactivity disorder (ADHD) by experts is difficult. Some solutions using electroencephalography (EEG) signals have been presented in the literature to solve this problem. However, few studies have aimed to ...
Support Vector Machine Humans Electroencephalography Attention Deficit Disorder with Hyperactivity Neural Networks, Computer Deep Learning
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A computer-aided approach for automatic detection of breast masses in digital mammogram via spectral clustering and support vector machine.

Physical and engineering sciences in medicine Feb 12, 2021
Breast cancer continues to be a widespread health concern all over the world. Mammography is an important method in the early detection of breast abnormalities. In recent years, using an automatic Computer-Aided Detection (CAD) system based on image ...
Support Vector Machine Humans Cluster Analysis Computers Breast Mammography
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Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors.

Physical and engineering sciences in medicine Jan 18, 2021
Tuberculosis (TB) remains one of the major health problems in modern times with a high mortality rate. While efforts are being made to make early diagnosis accessible and more reliable in high burden TB countries, digital chest radiography has become...
Humans Neural Networks, Computer Machine Learning X-Rays Diagnosis, Computer-Assisted Tuberculosis
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Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images.

Physical and engineering sciences in medicine Dec 10, 2020
The novel Coronavirus disease (COVID-19), which first appeared at the end of December 2019, continues to spread rapidly in most countries of the world. Respiratory infections occur primarily in the majority of patients treated with COVID-19. In light...
X-Rays Databases as Topic Thorax Male Lung Aged COVID-19 Mass Screening COVID-19 Testing Algorithms Time Factors Humans SARS-CoV-2 Neural Networks, Computer
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StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images.

Physical and engineering sciences in medicine Dec 4, 2020
The highly contagious nature of Coronavirus disease 2019 (Covid-19) resulted in a global pandemic. Due to the relatively slow and taxing nature of conventional testing for Covid-19, a faster method needs to be in place. The current researches have su...
Image Processing, Computer-Assisted Models, Theoretical COVID-19 Testing Time Factors ROC Curve Artifacts X-Rays COVID-19 Algorithms SARS-CoV-2 Lung Databases, Factual Humans Neural Networks, Computer
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Automated measurement of hip-knee-ankle angle on the unilateral lower limb X-rays using deep learning.

Physical and engineering sciences in medicine Nov 30, 2020
Significant inherent extra-articular varus angulation is associated with abnormal postoperative hip-knee-ankle (HKA) angle. At present, HKA is manually measured by orthopedic surgeons and it increases the doctors' workload. To automatically determine...
Knee Ankle X-Rays Hip Deep Learning Humans Lower Extremity Retrospective Studies Reproducibility of Results
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Noise robust automatic heartbeat classification system using support vector machine and conditional spectral moment.

Physical and engineering sciences in medicine Nov 24, 2020
Heartbeat classification is central to the detection of the arrhythmia. For the effective heartbeat classification, the noise-robust features are very significant. In this work, we have proposed a noise-robust support vector machine (SVM) based heart...
Humans Arrhythmias, Cardiac Heart Rate Support Vector Machine
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EEG-based deep learning model for the automatic detection of clinical depression.

Physical and engineering sciences in medicine Oct 22, 2020
Clinical depression is a neurological disorder that can be identified by analyzing the Electroencephalography (EEG) signals. However, the major drawback in using EEG to accurately identify depression is the complexity and variation that exist in the ...
Depressive Disorder, Major Humans Electroencephalography Neural Networks, Computer Deep Learning Depression
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Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays.

Physical and engineering sciences in medicine Oct 6, 2020
Covid-19 first occurred in Wuhan, China in December 2019. Subsequently, the virus spread throughout the world and as of June 2020 the total number of confirmed cases are above 4.7 million with over 315,000 deaths. Machine learning algorithms built on...
Artifacts Humans Thorax COVID-19 Confidence Intervals Deep Learning Neural Networks, Computer X-Rays SARS-CoV-2 Databases as Topic Image Processing, Computer-Assisted
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