AIMC Topic: Workflow

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A Novel Forward-Propagation Workflow Assessment Method for Malicious Packet Detection.

Sensors (Basel, Switzerland) May 30, 2022
In recent times, there has been a huge upsurge in malicious attacks despite sophisticated technologies in digital network data transmission. This research proposes an innovative method that utilizes the forward-propagation workflow of the convolution...
Neural Networks, Computer Algorithms Support Vector Machine Cluster Analysis Workflow
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Introduction of an artificial neural network-based method for concentration-time predictions.

CPT: pharmacometrics & systems pharmacology May 18, 2022
Pharmacometrics and the application of population pharmacokinetic (PK) modeling play a crucial role in clinical pharmacology. These methods, which describe data with well-defined equations and estimate physiologically interpretable parameters, have n...
Humans Neural Networks, Computer Workflow
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[Automation and application of robotics in the pathology laboratory].

Der Pathologe Apr 24, 2022
Over the last 20 years, numerous technical innovations have been introduced to the histopathology laboratory, providing tools for improved standardization and occupational safety. Digital tracking serves as a backbone accompanying the workflow from l...
Humans Robotics Workflow Laboratories Automation Pathology, Clinical
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Practical foundations of machine learning for addiction research. Part II. Workflow and use cases.

The American journal of drug and alcohol abuse Apr 7, 2022
In a continuum with applied statistics, machine learning offers a wide variety of tools to explore, analyze, and understand addiction data. These tools include algorithms that can leverage useful information from data to build models; these models ca...
Humans Machine Learning Workflow Data Collection
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Reducing prediction volatility in the surgical workflow recognition of endoscopic pituitary surgery.

International journal of computer assisted radiology and surgery Apr 1, 2022
PURPOSE: Workflow recognition can aid surgeons before an operation when used as a training tool, during an operation by increasing operating room efficiency, and after an operation in the completion of operation notes. Although several methods have b...
Humans Neural Networks, Computer Endoscopy Workflow
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Personalized workflows in reconstructive dentistry-current possibilities and future opportunities.

Clinical oral investigations Mar 30, 2022
OBJECTIVES: The increasing collection of health data coupled with continuous IT advances have enabled precision medicine with personalized workflows. Traditionally, dentistry has lagged behind general medicine in the integration of new technologies: ...
Humans Artificial Intelligence Image Processing, Computer-Assisted Workflow Patient Care Planning Prosthodontics
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PATG: position-aware temporal graph networks for surgical phase recognition on laparoscopic videos.

International journal of computer assisted radiology and surgery Mar 30, 2022
PURPOSE: We tackle the problem of online surgical phase recognition in laparoscopic procedures, which is key in developing context-aware supporting systems. We propose a novel approach to take temporal context in surgical videos into account by preci...
Humans Neural Networks, Computer Laparoscopy Workflow
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Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos.

Medical image analysis Mar 26, 2022
Out of all existing frameworks for surgical workflow analysis in endoscopic videos, action triplet recognition stands out as the only one aiming to provide truly fine-grained and comprehensive information on surgical activities. This information, pre...
Humans Neural Networks, Computer Laparoscopy Workflow Semantics
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Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.

Journal of digital imaging Mar 9, 2022
The field of artificial intelligence (AI) in medical imaging is undergoing explosive growth, and Radiology is a prime target for innovation. The American College of Radiology Data Science Institute has identified more than 240 specific use cases wher...
Humans Artificial Intelligence Retrospective Studies Hospitals Radiology Workflow
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Prediction of standard cell types and functional markers from textual descriptions of flow cytometry gating definitions using machine learning.

Cytometry. Part B, Clinical cytometry Mar 7, 2022
BACKGROUND: A key step in clinical flow cytometry data analysis is gating, which involves the identification of cell populations. The process of gating produces a set of reportable results, which are typically described by gating definitions. The non...
Humans Machine Learning Flow Cytometry Workflow
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