AIMC Topic: Computers
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Effectiveness of FEES with artificial intelligence-assisted computer-aided diagnosis.
Auris, nasus, larynx
Nov 18, 2023
OBJECTIVES: FEES is a standard procedure for diagnosing dysphagia. However, appropriate evaluation of FEES findings is difficult for inexperienced evaluators. Recent progress in deep learning has highlighted the use of artificial intelligence-assiste...
BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems.
Medical physics
Nov 8, 2023
PURPOSE: Computer-aided diagnosis (CAD) systems on breast ultrasound (BUS) aim to increase the efficiency and effectiveness of breast screening, helping specialists to detect and classify breast lesions. CAD system development requires a set of annot...
Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing.
Neural networks : the official journal of the International Neural Network Society
Nov 7, 2023
Recent work has shown that machine learning (ML) models can skillfully forecast the dynamics of unknown chaotic systems. Short-term predictions of the state evolution and long-term predictions of the statistical patterns of the dynamics ("climate") c...
Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging.
Journal of the American College of Radiology : JACR
Nov 2, 2023
Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.
Scientific reports
Oct 16, 2023
To evaluate the diagnostic performance of our deep learning (DL) model of COVID-19 and investigate whether the diagnostic performance of radiologists was improved by referring to our model. Our datasets contained chest X-rays (CXRs) for the following...
Effect of having and switching multiple avatars on the operator's right to talk and receive social support.
PloS one
Oct 16, 2023
People with communication difficulties encounter several challenges in their daily online interactions, such as a limited right to talk (RoT), insufficient social support (SS), and a low sense of being attended to (SoBA). Computer-mediated technologi...
A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing.
Nature communications
Oct 11, 2023
Neuromorphic computing aims to emulate the computing processes of the brain by replicating the functions of biological neural networks using electronic counterparts. One promising approach is dendritic computing, which takes inspiration from the mult...
African bovid tribe classification using transfer learning and computer vision.
Annals of the New York Academy of Sciences
Oct 7, 2023
Objective analytical identification methods are still a minority in the praxis of paleobiological sciences. Subjective interpretation of fossils and their modifications remains a nonreplicable expert endeavor. Identification of African bovids is a cr...
Risk of data leakage in estimating the diagnostic performance of a deep-learning-based computer-aided system for psychiatric disorders.
Scientific reports
Oct 3, 2023
Deep-learning approaches with data augmentation have been widely used when developing neuroimaging-based computer-aided diagnosis (CAD) systems. To prevent the inflated diagnostic performance caused by data leakage, a correct cross-validation (CV) me...
Memristors based on NdNiO nanocrystals film as sensory neurons for neuromorphic computing.
Materials horizons
Oct 2, 2023
By mimicking the behavior of the human brain, artificial neural systems offer the possibility to further improve computing efficiency and solve the von Neumann bottleneck. In particular, neural systems with perceptual capability expand the applicatio...
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