AIMC Topic: Data Accuracy

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A Smart Capacitive Sensor Skin with Embedded Data Quality Indication for Enhanced Safety in Human-Robot Interaction.

Sensors (Basel, Switzerland) Oct 29, 2021
Smart sensors are an integral part of the Fourth Industrial Revolution and are widely used to add safety measures to human-robot interaction applications. With the advancement of machine learning methods in resource-constrained environments, smart se...
Humans Algorithms Data Accuracy Monitoring, Physiologic Robotics Electronics
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A Machine Learning Framework for Balancing Training Sets of Sensor Sequential Data Streams.

Sensors (Basel, Switzerland) Oct 18, 2021
The recent explosive growth in the number of smart technologies relying on data collected from sensors and processed with machine learning classifiers made the training data imbalance problem more visible than ever before. Class-imbalanced sets used ...
Machine Learning Data Collection Data Accuracy
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COVID-19 Diagnosis from CT Images with Convolutional Neural Network Optimized by Marine Predator Optimization Algorithm.

BioMed research international Oct 12, 2021
In recent years, almost every country in the world has struggled against the spread of Coronavirus Disease 2019. If governments and public health systems do not take action against the spread of the disease, it will have a severe impact on human life...
COVID-19 Testing Data Accuracy Tomography, X-Ray Computed Reproducibility of Results Algorithms Humans SARS-CoV-2 Research Design Neural Networks, Computer Databases, Factual Image Processing, Computer-Assisted COVID-19 Models, Theoretical Sensitivity and Specificity Deep Learning
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Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning.

Scientific reports Sep 9, 2021
Craniofacial anomaly including deformational plagiocephaly as a result of deformities in head and facial bones evolution is a serious health problem in newbies. The impact of such condition on the affected infants is profound from both medical and so...
Plagiocephaly, Nonsynostotic Monitoring, Ambulatory Head Deep Learning Humans Skull Child, Preschool Infant Child Cephalometry Severity of Illness Index Smartphone Data Accuracy Mobile Applications
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Data Quality, Data Sharing, and Moving Artificial Intelligence Forward.

JAMA network open Aug 2, 2021
Humans Artificial Intelligence Delivery of Health Care Data Accuracy Information Dissemination
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Machine learning to predict distal caries in mandibular second molars associated with impacted third molars.

Scientific reports Jul 29, 2021
Impacted mandibular third molars (M3M) are associated with the occurrence of distal caries on the adjacent mandibular second molars (DCM2M). In this study, we aimed to develop and validate five machine learning (ML) models designed to predict the occ...
Retrospective Studies Clinical Decision-Making Female Data Accuracy Adult Tooth, Impacted Sensitivity and Specificity Tooth Cervix Risk Factors Humans Young Adult Mandible Machine Learning Cross-Sectional Studies Dental Caries Male Dental Caries Susceptibility Molar, Third
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Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets.

International journal of molecular sciences Jul 28, 2021
Drug-induced liver toxicity is one of the significant safety challenges for the patient's health and the pharmaceutical industry. It causes termination of drug candidates in clinical trials and also the retractions of approved drugs from the market. ...
Chemical and Drug Induced Liver Injury Computer Simulation Models, Biological Sensitivity and Specificity Support Vector Machine Data Accuracy Liver Quantitative Structure-Activity Relationship Humans
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Identification of Tissue of Origin and Guided Therapeutic Applications in Cancers of Unknown Primary Using Deep Learning and RNA Sequencing (TransCUPtomics).

The Journal of molecular diagnostics : JMD Jul 26, 2021
Cancers of unknown primary (CUP) are metastatic cancers for which the primary tumor is not found despite thorough diagnostic investigations. Multiple molecular assays have been proposed to identify the tissue of origin (TOO) and inform clinical care;...
Transcriptome Deep Learning RNA-Seq Gene Fusion Data Accuracy Neoplasms, Unknown Primary Biomarkers, Tumor Male Middle Aged Aged Aged, 80 and over Adult Retrospective Studies Female Humans Prospective Studies
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The impact of site-specific digital histology signatures on deep learning model accuracy and bias.

Nature communications Jul 20, 2021
The Cancer Genome Atlas (TCGA) is one of the largest biorepositories of digital histology. Deep learning (DL) models have been trained on TCGA to predict numerous features directly from histology, including survival, gene expression patterns, and dri...
Gene Expression Profiling Deep Learning Image Processing, Computer-Assisted Biomarkers, Tumor Risk Assessment Neoplasms DNA Mutational Analysis Specimen Handling Neoplasm Staging Mutation Data Accuracy Humans
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Curated Data In - Trustworthy Models Out: The Impact of Data Quality on the Reliability of Artificial Intelligence Models as Alternatives to Animal Testing.

Alternatives to laboratory animals : ATLA Jul 7, 2021
New Approach Methodologies (NAMs) that employ artificial intelligence (AI) for predicting adverse effects of chemicals have generated optimistic expectations as alternatives to animal testing. However, the major underappreciated challenge in developi...
Computer Simulation Reproducibility of Results Data Accuracy Artificial Intelligence Animals Animal Testing Alternatives
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