AIMC Topic: Workflow

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Application of a novel deep learning-based 3D videography workflow to bat flight.

Annals of the New York Academy of Sciences Apr 23, 2024
Studying the detailed biomechanics of flying animals requires accurate three-dimensional coordinates for key anatomical landmarks. Traditionally, this relies on manually digitizing animal videos, a labor-intensive task that scales poorly with increas...
Flight, Animal Wings, Animal Video Recording Chiroptera Animals Deep Learning Imaging, Three-Dimensional Workflow Biomechanical Phenomena
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Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring.

Scientific reports Apr 22, 2024
Radiological imaging to examine intracranial blood vessels is critical for preoperative planning and postoperative follow-up. Automated segmentation of cerebrovascular anatomy from Time-Of-Flight Magnetic Resonance Angiography (TOF-MRA) can provide r...
Workflow Magnetic Resonance Angiography Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies
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Automating the Illumina DNA library preparation kit for whole genome sequencing applications on the flowbot ONE liquid handler robot.

Scientific reports Apr 8, 2024
Whole-genome sequencing (WGS) is currently making its transition from research tool into routine (clinical) diagnostic practice. The workflow for WGS includes the highly labor-intensive library preparations (LP), one of the most critical steps in the...
Lipopolysaccharides Robotics Humans Reproducibility of Results Gene Library DNA Workflow Whole Genome Sequencing High-Throughput Nucleotide Sequencing
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Understanding Bias in Artificial Intelligence: A Practice Perspective.

AJNR. American journal of neuroradiology Apr 8, 2024
In the fall of 2021, several experts in this space delivered a Webinar hosted by the American Society of Neuroradiology (ASNR) Diversity and Inclusion Committee, focused on expanding the understanding of bias in artificial intelligence, with a health...
Humans Radiologists Workflow Artificial Intelligence Radiology
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Deep learning workflow to support in-flight processing of digital aerial imagery for wildlife population surveys.

PloS one Apr 3, 2024
Deep learning shows promise for automating detection and classification of wildlife from digital aerial imagery to support cost-efficient remote sensing solutions for wildlife population monitoring. To support in-flight orthorectification and machine...
Deep Learning Birds Remote Sensing Technology Neural Networks, Computer Workflow Animals, Wild Animals
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Multimodal semi-supervised learning for online recognition of multi-granularity surgical workflows.

International journal of computer assisted radiology and surgery Apr 1, 2024
Purpose Surgical workflow recognition is a challenging task that requires understanding multiple aspects of surgery, such as gestures, phases, and steps. However, most existing methods focus on single-task or single-modal models and rely on costly an...
Video Recording Humans Workflow Neural Networks, Computer Supervised Machine Learning Gestures
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The impact of large language models on radiology: a guide for radiologists on the latest innovations in AI.

Japanese journal of radiology Mar 29, 2024
The advent of Deep Learning (DL) has significantly propelled the field of diagnostic radiology forward by enhancing image analysis and interpretation. The introduction of the Transformer architecture, followed by the development of Large Language Mod...
Radiology Radiologists Workflow Humans Artificial Intelligence Deep Learning
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Towards a general-purpose foundation model for computational pathology.

Nature medicine Mar 19, 2024
Quantitative evaluation of tissue images is crucial for computational pathology (CPath) tasks, requiring the objective characterization of histopathological entities from whole-slide images (WSIs). The high resolution of WSIs and the variability of m...
Workflow Artificial Intelligence
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A visual-language foundation model for computational pathology.

Nature medicine Mar 19, 2024
The accelerated adoption of digital pathology and advances in deep learning have enabled the development of robust models for various pathology tasks across a diverse array of diseases and patient cohorts. However, model training is often difficult d...
Workflow Humans Machine Learning Language
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Unlocking the Value: Quantifying the Return on Investment of Hospital Artificial Intelligence.

Journal of the American College of Radiology : JACR Mar 16, 2024
PURPOSE: A comprehensive return on investment (ROI) calculator was developed to evaluate the monetary and nonmonetary benefits of an artificial intelligence (AI)-powered radiology diagnostic imaging platform to inform decision makers interested in ad...
Artificial Intelligence United States Radiology Department, Hospital Cost-Benefit Analysis Diagnostic Imaging Humans Efficiency, Organizational Workflow
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