AIMC Topic: Benchmarking

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A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs.

IEEE/ACM transactions on computational biology and bioinformatics Dec 25, 2023
Predicting drug side effects before they occur is a critical task for keeping the number of drug-related hospitalizations low and for improving drug discovery processes. Automatic predictors of side-effects generally are not able to process the struc...
Drug-Related Side Effects and Adverse Reactions Deep Learning Benchmarking Humans Neural Networks, Computer Drug Discovery
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Validation of an automated artificial intelligence system for 12‑lead ECG interpretation.

Journal of electrocardiology Dec 23, 2023
BACKGROUND: The electrocardiogram (ECG) is one of the most accessible and comprehensive diagnostic tools used to assess cardiac patients at the first point of contact. Despite advances in computerized interpretation of the electrocardiogram (CIE), it...
Humans Electrocardiography Benchmarking Acute Coronary Syndrome Neural Networks, Computer Artificial Intelligence
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Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science.

Clinical pharmacology and therapeutics Dec 12, 2023
Artificial intelligence (AI) is increasingly being used in decision making across various industries, including the public health arena. Bias in any decision-making process can significantly skew outcomes, and AI systems have been shown to exhibit bi...
Public Health Bias Humans Benchmarking Artificial Intelligence
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Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking Tool.

The Annals of thoracic surgery Dec 6, 2023
BACKGROUND: We previously showed that machine learning-based methodologies of optimal classification trees (OCTs) can accurately predict risk after congenital heart surgery and assess case-mix-adjusted performance after benchmark procedures. We exten...
Cardiac Surgical Procedures Heart Defects, Congenital Europe Benchmarking Female Male Risk Assessment Hospital Mortality Databases, Factual Retrospective Studies Humans Machine Learning
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Rising adoption of artificial intelligence in scientific publishing: evaluating the role, risks, and ethical implications in paper drafting and review process.

Clinical chemistry and laboratory medicine Nov 30, 2023
BACKGROUND: In the rapid evolving landscape of artificial intelligence (AI), scientific publishing is experiencing significant transformations. AI tools, while offering unparalleled efficiencies in paper drafting and peer review, also introduce notab...
Humans Research Personnel Artificial Intelligence Publishing Benchmarking
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Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings.

Nature genetics Nov 30, 2023
Deep learning methods have recently become the state of the art in a variety of regulatory genomic tasks, including the prediction of gene expression from genomic DNA. As such, these methods promise to serve as important tools in interpreting the ful...
Benchmarking Base Sequence DNA Humans Gene Expression Neural Networks, Computer
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Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment.

Nutrients Nov 30, 2023
Photo-based dietary assessment is becoming more feasible as artificial intelligence methods improve. However, advancement of these methods for dietary assessment in research settings has been hindered by the lack of an appropriate dataset against whi...
Humans Meals Benchmarking Artificial Intelligence Nutrition Assessment Nutrients Diet Diet Records
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An Effective Hybrid Deep Learning Model for Single-Channel EEG-Based Subject-Independent Drowsiness Recognition.

Brain topography Nov 23, 2023
Nowadays, road accidents pose a severe risk in cases of sleep disorders. We proposed a novel hybrid deep-learning model for detecting drowsiness to address this issue. The proposed model combines the strengths of discrete wavelet long short-term memo...
Deep Learning Electroencephalography Benchmarking Humans Mental Recall Recognition, Psychology
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Use of deep learning to segment bolus during videofluoroscopic swallow studies.

Biomedical physics & engineering express Nov 23, 2023
Anatomical segmentations generated using artificial intelligence (AI) have the potential to significantly improve video fluoroscopic swallow study (VFS) analysis. AI segments allow for various metrics to be determined without additional time constrai...
Motion Deep Learning Benchmarking Artificial Intelligence Research Design Humans
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NRG Oncology Assessment of Artificial Intelligence Deep Learning-Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions.

International journal of radiation oncology, biology, physics Nov 14, 2023
Deep learning neural networks (DLNN) in Artificial intelligence (AI) have been extensively explored for automatic segmentation in radiotherapy (RT). In contrast to traditional model-based methods, data-driven AI-based models for auto-segmentation hav...
Deep Learning Radiation Oncology Neural Networks, Computer Humans Radiotherapy Planning, Computer-Assisted Benchmarking Artificial Intelligence
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