AIMC Topic: Benchmarking
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Range of Radiologist Performance in a Population-based Screening Cohort of 1 Million Digital Mammography Examinations.
Radiology
Jul 28, 2020
Background There is great interest in developing artificial intelligence (AI)-based computer-aided detection (CAD) systems for use in screening mammography. Comparative performance benchmarks from true screening cohorts are needed. Purpose To determi...
Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
Medical & biological engineering & computing
Jul 16, 2020
Both labeled and unlabeled data have been widely used in electroencephalographic (EEG)-based brain-computer interface (BCI). However, labeled EEG samples are generally scarce and expensive to collect, while unlabeled samples are considered to be abun...
α-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.
IEEE journal of biomedical and health informatics
Jul 15, 2020
The fast evolving and deadly outbreak of coronavirus disease (COVID-19) has posed grand challenges to human society. To slow the spread of virus infections and better respond for community mitigation, by advancing capabilities of artificial intellige...
Benchmarking machine learning models on multi-centre eICU critical care dataset.
PloS one
Jul 2, 2020
Progress of machine learning in critical care has been difficult to track, in part due to absence of public benchmarks. Other fields of research (such as computer vision and natural language processing) have established various competitions and publi...
Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects.
Journal of infection and public health
Jul 1, 2020
This study presents a systematic review of artificial intelligence (AI) techniques used in the detection and classification of coronavirus disease 2019 (COVID-19) medical images in terms of evaluation and benchmarking. Five reliable databases, namely...
Using decision curve analysis to benchmark performance of a magnetic resonance imaging-based deep learning model for prostate cancer risk assessment.
European radiology
Jun 26, 2020
OBJECTIVES: To benchmark the performance of a calibrated 3D convolutional neural network (CNN) applied to multiparametric MRI (mpMRI) for risk assessment of clinically significant prostate cancer (csPCa) using decision curve analysis (DCA).
MEDICASCY: A Machine Learning Approach for Predicting Small-Molecule Drug Side Effects, Indications, Efficacy, and Modes of Action.
Molecular pharmaceutics
Apr 13, 2020
To improve the drug discovery yield, a method which is implemented at the beginning of drug discovery that accurately predicts drug side effects, indications, efficacy, and mode of action based solely on the input of the drug's chemical structure is ...
Evaluation of haptic devices and end-users: Novel performance metrics in tele-robotic microsurgery.
The international journal of medical robotics + computer assisted surgery : MRCAS
Apr 3, 2020
BACKGROUND: Here, we present performance evaluation methodology that distinguishes the performance of a haptic device from end-user skill level in a tele-robotic system.
Energy-based graph convolutional networks for scoring protein docking models.
Proteins
Mar 16, 2020
Structural information about protein-protein interactions, often missing at the interactome scale, is important for mechanistic understanding of cells and rational discovery of therapeutics. Protein docking provides a computational alternative for su...
Protein Interaction Domains and Motifs
Structural Homology, Protein
Protein Conformation, alpha-Helical
Protein Conformation, beta-Strand
Molecular Docking Simulation
Thermodynamics
Deep Learning
Computer Graphics
Protein Binding
Protein Interaction Mapping
Proteins
Humans
Protein Multimerization
Software
Benchmarking
Research Design
Amino Acid Sequence
Peptides
Ligands
Binding Sites
A Multi-Modal Person Perception Framework for Socially Interactive Mobile Service Robots.
Sensors (Basel, Switzerland)
Jan 28, 2020
In order to meet the increasing demands of mobile service robot applications, a dedicated perception module is an essential requirement for the interaction with users in real-world scenarios. In particular, multi sensor fusion and human re-identifica...
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