AIMC Topic: Reproducibility of Results

Clear Filters Showing 5291 to 5300 of 5908 articles

Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images scalable deep learning.

World journal of gastroenterology
BACKGROUND: Hepatic steatosis is a major cause of chronic liver disease. Two-dimensional (2D) ultrasound is the most widely used non-invasive tool for screening and monitoring, but associated diagnoses are highly subjective.

ASAS-NANP symposium: mathematical modeling in animal nutrition: the progression of data analytics and artificial intelligence in support of sustainable development in animal science.

Journal of animal science
A renewed interest in data analytics and decision support systems in developing automated computer systems is facilitating the emergence of hybrid intelligent systems by combining artificial intelligence (AI) algorithms with classical modeling paradi...

BioDKG-DDI: predicting drug-drug interactions based on drug knowledge graph fusing biochemical information.

Briefings in functional genomics
The way of co-administration of drugs is a sensible strategy for treating complex diseases efficiently. Because of existing massive unknown interactions among drugs, predicting potential adverse drug-drug interactions (DDIs) accurately is promotive t...

Service Robots for Context Recognition in Smart Environments.

Studies in health technology and informatics
BACKGROUND: A new concept for context recognition involves a smart home system, wearables, and service robots.

Biomimetic navigation system using a polarization sensor and a binocular camera.

Journal of the Optical Society of America. A, Optics, image science, and vision
With the vigorous development of vision techniques, simultaneous localization and mapping (SLAM) has shown the capability of navigating autonomous robots in global-navigation-satellite-system-denied environments. However, the long-term robust navigat...

Deep Learning-Based Image Conversion Improves the Reproducibility of Computed Tomography Radiomics Features: A Phantom Study.

Investigative radiology
OBJECTIVES: This study aimed to evaluate the usefulness of deep learning-based image conversion to improve the reproducibility of computed tomography (CT) radiomics features.

BridgeDPI: a novel Graph Neural Network for predicting drug-protein interactions.

Bioinformatics (Oxford, England)
MOTIVATION: Exploring drug-protein interactions (DPIs) provides a rapid and precise approach to assist in laboratory experiments for discovering new drugs. Network-based methods usually utilize a drug-protein association network and predict DPIs by t...

Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
The promise of highly personalized oncology care using artificial intelligence (AI) technologies has been forecasted since the emergence of the field. Cumulative advances across the science are bringing this promise to realization, including refineme...

Model-assisted deep learning of rare extreme events from partial observations.

Chaos (Woodbury, N.Y.)
To predict rare extreme events using deep neural networks, one encounters the so-called small data problem because even long-term observations often contain few extreme events. Here, we investigate a model-assisted framework where the training data a...

The COPILOT Raw Illumina Genotyping QC Protocol.

Current protocols
The Illumina genotyping microarrays generate data in image format, which is processed by the platform-specific software GenomeStudio, followed by an array of complex bioinformatics analyses that rely on various software, different programming languag...