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A new radionuclide identification method for low-count energy spectra with multiple radionuclides.

Radionuclide identification is to recognize the radionuclides in the environment by analyzing the en...

A Challenge for Emphysema Quantification Using a Deep Learning Algorithm With Low-dose Chest Computed Tomography.

PURPOSE: We aimed to identify clinically relevant deep learning algorithms for emphysema quantificat...

Clinicians' Attitudes and Behaviors Towards Communicating Electronically with Patients: A Grounded Practical Theory Approach.

Secure messaging (SM), asynchronous communication between patients and clinicians, is an increasingl...

Extraction of low-dimensional features for single-channel common lung sound classification.

In this study, feature extraction methods used in the classification of single-channel lung sounds o...

SRAS-net: Low-resolution chromosome image classification based on deep learning.

Prenatal karyotype diagnosis is important to determine if the foetus has genetic diseases and some c...

Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania.

BACKGROUND: Prediction of low Apgar score for vaginal deliveries following labor induction intervent...

Value of deep learning reconstruction at ultra-low-dose CT for evaluation of urolithiasis.

OBJECTIVES: To determine the diagnostic accuracy and image quality of ultra-low-dose computed tomogr...

Validation of standardized training system for robot-assisted radical prostatectomy: comparison of perioperative and surgical outcomes between experienced surgeons and novice surgeons at a low-volume institute in Japan.

INTRODUCTION: Although robot-assisted radical prostatectomy (RARP) has become a standard treatment m...

AI-Enabled Advanced Development for Assessing Low Circulating Blood Volume for Emergency Medical Care: Comparison of Compensatory Reserve Machine-Learning Algorithms.

The application of artificial intelligence (AI) has provided new capabilities to develop advanced me...

Low-precision feature selection on microarray data: an information theoretic approach.

The number of interconnected devices, such as personal wearables, cars, and smart-homes, surrounding...

Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network.

Reverse transcription-polymerase chain reaction is currently the gold standard in COVID-19 diagnosis...

Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement.

Image processing plays a crucial role in maximising diagnostic quality of positron emission tomograp...

Detection of moisture content in salted sea cucumbers by hyperspectral and low field nuclear magnetic resonance based on deep learning network framework.

The accurate control of moisture content (MC) during the processing of sea cucumber is beneficial to...

Automatic Deep-Learning Segmentation of Epicardial Adipose Tissue from Low-Dose Chest CT and Prognosis Impact on COVID-19.

Background: To develop a deep-learning (DL) pipeline that allowed an automated segmentation of epica...

Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction.

PURPOSE: To evaluate the utility of deep learning-based image reconstruction (DLIR) algorithm in une...

Head and neck synthetic CT generated from ultra-low-dose cone-beam CT following Image Gently Protocol using deep neural network.

PURPOSE: Image guidance is used to improve the accuracy of radiation therapy delivery but results in...

Editorial Comment: Doing More With Less-Deep Learning Iterative Reconstruction Can Improve Diagnostic Image Quality in Pediatric Low-Dose Body CT.

Emulation of synaptic functions with low voltage organic memtransistor for hardware oriented neuromorphic computing.

Here, various synaptic functions and neural network simulation based pattern-recognition using novel...

Technical Feasibility of Supervision of Stretching Exercises by a Humanoid Robot Coach for Chronic Low Back Pain: The R-COOL Randomized Trial.

Adherence to exercise programs for chronic low back pain (CLBP) is a major issue. The R-COOL feasibi...

[Low-field magnetic resonance imaging : Just less expensive or completely different?].

Over the years the development of field strength in magnetic resonance imaging (MRI) has continued t...

A deep learning-driven low-power, accurate, and portable platform for rapid detection of COVID-19 using reverse-transcription loop-mediated isothermal amplification.

This paper presents a deep learning-driven portable, accurate, low-cost, and easy-to-use device to p...