AIMC Topic: Benchmarking

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PhenoBERT: A Combined Deep Learning Method for Automated Recognition of Human Phenotype Ontology.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
Automated recognition of Human Phenotype Ontology (HPO) terms from clinical texts is of significant interest to the field of clinical data mining. In this study, we develop a combined deep learning method named PhenoBERT for this purpose. PhenoBERT u...
Humans Benchmarking Data Mining Family Phenotype Deep Learning
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Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking.

PloS one Mar 31, 2023
The analysis of 3D microscopic cell culture images plays a vital role in the development of new therapeutics. While 3D cell cultures offer a greater similarity to the human organism than adherent cell cultures, they introduce new challenges for autom...
Image Processing, Computer-Assisted Benchmarking Cell Culture Techniques, Three Dimensional Deep Learning Humans Imaging, Three-Dimensional Algorithms
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Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-level.

Ultrasonics Mar 30, 2023
Automated ultrasound imaging assessment of the effect of CoronaVirus disease 2019 (COVID-19) on lungs has been investigated in various studies using artificial intelligence-based (AI) methods. However, an extensive analysis of state-of-the-art Convol...
Artificial Intelligence COVID-19 Humans Benchmarking Prognosis Ultrasonography
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Assessing the utility of a sliding-windows deep neural network approach for risk prediction of trauma patients.

Scientific reports Mar 30, 2023
The risks of post trauma complications are regulated by the injury, comorbidities, and the clinical trajectories, yet prediction models are often limited to single time-point data. We hypothesize that deep learning prediction models can be used for r...
Humans Quality Improvement Area Under Curve Neural Networks, Computer Benchmarking Comorbidity
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Evaluating Synthetic Medical Images Using Artificial Intelligence with the GAN Algorithm.

Sensors (Basel, Switzerland) Mar 24, 2023
In recent years, considerable work has been conducted on the development of synthetic medical images, but there are no satisfactory methods for evaluating their medical suitability. Existing methods mainly evaluate the quality of noise in the images,...
Benchmarking Artificial Intelligence Algorithms Reproducibility of Results Image Processing, Computer-Assisted
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Deep Survival Analysis With Clinical Variables for COVID-19.

IEEE journal of translational engineering in health and medicine Mar 14, 2023
OBJECTIVE: Millions of people have been affected by coronavirus disease 2019 (COVID-19), which has caused millions of deaths around the world. Artificial intelligence (AI) plays an increasing role in all areas of patient care, including prognostics. ...
Heparin Benchmarking Humans Artificial Intelligence Survival Analysis COVID-19
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Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.

JAMA network open Mar 1, 2023
IMPORTANCE: Neuroimaging-based artificial intelligence (AI) diagnostic models have proliferated in psychiatry. However, their clinical applicability and reporting quality (ie, feasibility) for clinical practice have not been systematically evaluated.
Calibration Benchmarking Neuroimaging Humans Artificial Intelligence Bias
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BUS-Set: A benchmark for quantitative evaluation of breast ultrasound segmentation networks with public datasets.

Medical physics Feb 28, 2023
PURPOSE: BUS-Set is a reproducible benchmark for breast ultrasound (BUS) lesion segmentation, comprising of publicly available images with the aim of improving future comparisons between machine learning models within the field of BUS.
Ultrasonography, Mammary Benchmarking Neural Networks, Computer Machine Learning Female Humans Image Processing, Computer-Assisted
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Discriminating and understanding brain states in children with epileptic spasms using deep learning and graph metrics analysis of brain connectivity.

Computer methods and programs in biomedicine Feb 24, 2023
BACKGROUND AND OBJECTIVE: Epilepsy is a brain disorder consisting of abnormal electrical discharges of neurons resulting in epileptic seizures. The nature and spatial distribution of these electrical signals make epilepsy a field for the analysis of ...
Seizures Benchmarking Spasm Artificial Intelligence Electroencephalography Deep Learning Brain Epilepsy Child Humans
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Multiparametric MRI: From Simultaneous Rapid Acquisition Methods and Analysis Techniques Using Scoring, Machine Learning, Radiomics, and Deep Learning to the Generation of Novel Metrics.

Investigative radiology Feb 21, 2023
With the recent advancements in rapid imaging methods, higher numbers of contrasts and quantitative parameters can be acquired in less and less time. Some acquisition models simultaneously obtain multiparametric images and quantitative maps to reduce...
Humans Benchmarking Multiparametric Magnetic Resonance Imaging Deep Learning Machine Learning Magnetic Resonance Imaging Retrospective Studies
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