AIMC Topic: Automation

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Robots in the kitchen: The automation of food preparation in restaurants and the compounding effects of perceived love and disgust on consumer evaluations.

Appetite Oct 28, 2024
Restaurants are swiftly embracing automation to prepare food, experimenting with innovations from robotic arms for frying foods to pizza-making robots. While these advances promise to enhance efficiency and productivity, their impact on consumer psyc...
Male Robotics Taste Consumer Behavior Female Young Adult Adult Love Disgust Automation Cooking Food Preferences Restaurants Humans
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Automated detection of motion artifacts in brain MR images using deep learning.

NMR in biomedicine Oct 22, 2024
Quality assessment, including inspecting the images for artifacts, is a critical step during magnetic resonance imaging (MRI) data acquisition to ensure data quality and downstream analysis or interpretation success. This study demonstrates a deep le...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Motion Artifacts Automation Humans Brain Deep Learning
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External validation of a fully automated evaluation tool: a retrospective analysis of 68,471 scored embryos.

Fertility and sterility Oct 15, 2024
OBJECTIVE: To externally validate a fully automated embryo classification system for in vitro fertilization (IVF) treatments.
Deep Learning Embryo Transfer Pregnancy Rate Fertilization in Vitro Female Reproducibility of Results Adult Live Birth Infertility Preimplantation Diagnosis Oocyte Donation Humans Embryo Implantation Retrospective Studies Genetic Testing Pregnancy Aneuploidy Automation
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An AI Agent for Fully Automated Multi-Omic Analyses.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Oct 3, 2024
With the fast-growing and evolving omics data, the demand for streamlined and adaptable tools to handle bioinformatics analysis continues to grow. In response to this need, Automated Bioinformatics Analysis (AutoBA) is introduced, an autonomous AI ag...
Humans Artificial Intelligence Software Automation Computational Biology Multiomics
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ReBiA-Robotic Enabled Biological Automation: 3D Epithelial Tissue Production.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 26, 2024
The Food and Drug Administration's recent decision to eliminate mandatory animal testing for drug approval marks a significant shift to alternative methods. Similarly, the European Parliament is advocating for a faster transition, reflecting public p...
Automation Tissue Engineering Organoids Humans Epithelial Cells Robotics
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Rapid CNN-based needle localization for automatic slice alignment in MR-guided interventions using 3D undersampled radial white-marker imaging.

Medical physics Sep 18, 2024
BACKGROUND: In MR-guided in-bore percutaneous needle interventions, typically 2D interactive real-time imaging is used for navigating the needle into the target. Misaligned 2D imaging planes can result in losing visibility of the needle in the 2D ima...
Needles Phantoms, Imaging Time Factors Imaging, Three-Dimensional Magnetic Resonance Imaging Automation Neural Networks, Computer Algorithms Animals Swine
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Concept of flexible no-code automation for complex sample preparation procedures.

Journal of chromatography. A Sep 16, 2024
Driven by demographic changes and dwindling Science Technology Engineering Mathematics enrolments, our research introduces no-code automation as a strategic response, aimed at mitigating labor shortages while enhancing productivity and safety in the ...
Software Automation, Laboratory Robotics Workflow Automation
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Automated biventricular quantification in patients with repaired tetralogy of Fallot using a three-dimensional deep learning segmentation model.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 11, 2024
BACKGROUND: Deep learning is the state-of-the-art approach for automated segmentation of the left ventricle (LV) and right ventricle (RV) in cardiovascular magnetic resonance (CMR) images. However, these models have been mostly trained and validated ...
Image Interpretation, Computer-Assisted Male Female Automation Humans Ventricular Function, Right Predictive Value of Tests Reproducibility of Results Tetralogy of Fallot Ventricular Function, Left Adolescent Cardiac Surgical Procedures Databases, Factual Young Adult Magnetic Resonance Imaging, Cine Retrospective Studies Deep Learning Child Adult Heart Ventricles Imaging, Three-Dimensional Treatment Outcome
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Precise ablation zone segmentation on CT images after liver cancer ablation using semi-automatic CNN-based segmentation.

Medical physics Sep 9, 2024
BACKGROUND: Ablation zone segmentation in contrast-enhanced computed tomography (CECT) images enables the quantitative assessment of treatment success in the ablation of liver lesions. However, fully automatic liver ablation zone segmentation in CT i...
Humans Image Processing, Computer-Assisted Automation Ablation Techniques Neural Networks, Computer Tomography, X-Ray Computed Liver Neoplasms
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Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study.

Cardiovascular diabetology Sep 3, 2024
BACKGROUND: The aim of this study (EPIDIAB) was to assess the relationship between epicardial adipose tissue (EAT) and the micro and macrovascular complications (MVC) of type 2 diabetes (T2D).
Adiposity Automation Diabetic Angiopathies Vascular Calcification Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Predictive Value of Tests Coronary Angiography Deep Learning Radiographic Image Interpretation, Computer-Assisted Diabetes Mellitus, Type 2 Coronary Artery Disease Adipose Tissue Aged Prognosis Humans Male Female Middle Aged Reproducibility of Results Risk Assessment Risk Factors
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