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Showing 799-819 of 3,323 articles

Detection of ataxia in low disability MS patients by hybrid convolutional neural networks based on images of plantar pressure distribution.

BACKGROUND: This study aimed to detect ataxia in patients with multiple sclerosis (PwMS) with a deep...

Sep 2021 PMID: 34555759

Microplanning for designing vaccination campaigns in low-resource settings: A geospatial artificial intelligence-based framework.

Existing campaign-based healthcare delivery programs used for immunization often fall short of estab...

Sep 2021 PMID: 34538526

A Novel Automate Python Edge-to-Edge: From Automated Generation on Cloud to User Application Deployment on Edge of Deep Neural Networks for Low Power IoT Systems FPGA-Based Acceleration.

Deep Neural Networks (DNNs) deployment for IoT Edge applications requires strong skills in hardware ...

Sep 2021 PMID: 34577258

Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-Cov2 virus has becom...

Sep 2021 PMID: 34496940

Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites.

Dose reduction in computed tomography (CT) has gained considerable attention in clinical application...

Sep 2021 PMID: 33625991

A Redundant Configuration of Four Low-Cost GNSS-RTK Receivers for Reliable Estimation of Vehicular Position and Posture.

This paper proposes a low-cost sensor system composed of four GNSS-RTK receivers to obtain accurate ...

Aug 2021 PMID: 34502744

Reducing the energy cost of running using a lightweight, low-profile elastic exosuit.

BACKGROUND: Human beings can enhance their distance running performance with the help of assistive d...

Aug 2021 PMID: 34461938

Low-dose CT denoising via convolutional neural network with an observer loss function.

PURPOSE: Convolutional neural network (CNN)-based denoising is an effective method for reducing comp...

Aug 2021 PMID: 34387360

Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling.

Wine aroma is an important quality trait in wine, influenced by its volatile compounds. Many factors...

Aug 2021 PMID: 34443695

Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT.

OBJECTIVE: The purpose of this study was to assess whether a deep learning (DL) algorithm could enab...

Aug 2021 PMID: 34431248

Outcomes of robotic partial excision of the levator ani muscle for locally advanced low rectal cancer invading the ipsilateral pelvic floor at the anorectal ring level.

PURPOSE: The purpose of this study is to evaluate partial excision of the levator ani muscle (PELM) ...

Aug 2021 PMID: 34255412

Impact of artificial intelligence on clinical radiography practice: Futuristic prospects in a low resource setting.

OBJECTIVES: Current trends in clinical radiography practice include the integration of artificial in...

Aug 2021 PMID: 34400083

Clustering Algorithms on Low-Power and High-Performance Devices for Edge Computing Environments.

The synergy between Artificial Intelligence and the Edge Computing paradigm promises to transfer dec...

Aug 2021 PMID: 34450837

Diagnostic performance and image quality of deep learning image reconstruction (DLIR) on unenhanced low-dose abdominal CT for urolithiasis.

BACKGROUND: Patients with urolithiasis undergo radiation overexposure from computed tomography (CT) ...

Aug 2021 PMID: 34365803

REUR: A unified deep framework for signet ring cell detection in low-resolution pathological images.

Detecting signet ring cells (SRCs) in pathological images is essential for carcinoma diagnosis. Howe...

Aug 2021 PMID: 34388466

MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation.

Implementing deep convolutional neural networks (CNNs) with boolean arithmetic is ideal for eliminat...

Aug 2021 PMID: 34416578

Skills Classification in Cardiac Ultrasound with Temporal Convolution and Domain Knowledge Using a Low-Cost Probe Tracker.

As point-of-care ultrasound (POCUS) becomes more integrated into clinical practice, it is essential ...

Aug 2021 PMID: 34344562

Public Health & Policy

Browse Specialties

Detection of ataxia in low disability MS patients by hybrid convolutional neural networks based on images of plantar pressure distribution.

Microplanning for designing vaccination campaigns in low-resource settings: A geospatial artificial intelligence-based framework.

A Novel Automate Python Edge-to-Edge: From Automated Generation on Cloud to User Application Deployment on Edge of Deep Neural Networks for Low Power IoT Systems FPGA-Based Acceleration.

Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying.

Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites.

A Redundant Configuration of Four Low-Cost GNSS-RTK Receivers for Reliable Estimation of Vehicular Position and Posture.

Reducing the energy cost of running using a lightweight, low-profile elastic exosuit.

Low-dose CT denoising via convolutional neural network with an observer loss function.

Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling.

Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT.

Outcomes of robotic partial excision of the levator ani muscle for locally advanced low rectal cancer invading the ipsilateral pelvic floor at the anorectal ring level.

Impact of artificial intelligence on clinical radiography practice: Futuristic prospects in a low resource setting.

Clustering Algorithms on Low-Power and High-Performance Devices for Edge Computing Environments.

Diagnostic performance and image quality of deep learning image reconstruction (DLIR) on unenhanced low-dose abdominal CT for urolithiasis.

REUR: A unified deep framework for signet ring cell detection in low-resolution pathological images.

MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation.

Skills Classification in Cardiac Ultrasound with Temporal Convolution and Domain Knowledge Using a Low-Cost Probe Tracker.

The use of deep learning towards dose optimization in low-dose computed tomography: A scoping review.

Artificial Intelligence-Enabled Caregiving Walking Stick Powered by Ultra-Low-Frequency Human Motion.

Low-Light Image Enhancement Based on Multi-Path Interaction.

A Deep Dive of Autoencoder Models on Low-Contrast Aquatic Images.

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