Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Showing 1639-1659 of 6,337 articles
Forty years of directed evolution and its continuously evolving technology toolbox: A review of the patent landscape.

Generating functional protein variants with novel or improved characteristics has been a goal of the...

A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images.

. The new coronavirus disease (known as COVID-19) was first identified in Wuhan and quickly spread w...

Artificial intelligence for stepwise diagnosis and monitoring of COVID-19.

BACKGROUND: Main challenges for COVID-19 include the lack of a rapid diagnostic test, a suitable too...

Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features.

This paper puts forward a new method of landscape recognition and evaluation by using aerial video a...

ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration.

The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of the viru...

Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data.

Coronavirus Disease 2019 (COVID-19) is extremely infectious and rapidly spreading around the globe. ...

Efficient Approach towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R-CNN with MobileNet V1.

With the technological advancements of the modern era, the easy availability of image editing tools ...

AI Based Monitoring of Different Risk Levels in COVID-19 Context.

COVID-19 was responsible for devastating social, economic, and political effects all over the world....

Screening for prostate cancer: a study on the free and total prostate specific antigen.

BACKGROUND: A variety of biomarkers have been developed to monitor growth of cancerous diseases and ...

BEMD-3DCNN-based method for COVID-19 detection.

The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Th...

Digital Technology in Diagnostic Breast Pathology and Immunohistochemistry.

Digital technology has been used in the field of diagnostic breast pathology and immunohistochemistr...

RegVar: Tissue-specific Prioritization of Non-coding Regulatory Variants.

Non-coding genomic variants constitute the majority of trait-associated genome variations; however, ...

A highly accurate delta check method using deep learning for detection of sample mix-up in the clinical laboratory.

OBJECTIVES: Delta check (DC) is widely used for detecting sample mix-up. Owing to the inadequate err...

Development of computer-aided model to differentiate COVID-19 from pulmonary edema in lung CT scan: EDECOVID-net.

The efforts made to prevent the spread of COVID-19 face specific challenges in diagnosing COVID-19 p...

Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy.

This study is aimed at evaluating a deep transfer learning-based model for identifying diabetic reti...

Comparison of Higher-Than-Standard to D-Dimer Driven Thromboprophylaxis in Hospitalized Patients With COVID-19.

Coronavirus disease 2019 is a global health threat often accompanied with coagulopathy. Despite use...

A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images.

The excessive number of COVID-19 cases reported worldwide so far, supplemented by a high rate of fal...

Use of machine learning to classify high-risk variants of uncertain significance in lamin A/C cardiac disease.

BACKGROUND: Variation in lamin A/C results in a spectrum of clinical disease, including arrhythmias ...

Deep learning reveals personalized spatial spectral abnormalities of high delta and low alpha bands in EEG of patients with early Parkinson's disease.

Parkinson's disease (PD) is one of the most common neurodegenerative diseases, and early diagnosis i...

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