AI Medical Compendium Topic

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Workflow

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High-throughput whole-slide scanning to enable large-scale data repository building.

The Journal of pathology
Digital pathology and artificial intelligence (AI) rely on digitization of patient material as a necessary first step. AI development benefits from large sample sizes and diverse cohorts, and therefore efforts to digitize glass slides must meet these...

Use of artificial intelligence in emergency radiology: An overview of current applications, challenges, and opportunities.

Clinical imaging
The value of artificial intelligence (AI) in healthcare has become evident, especially in the field of medical imaging. The accelerated pace and acuity of care in the Emergency Department (ED) has made it a popular target for artificial intelligence-...

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

Sensors (Basel, Switzerland)
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...

Introduction of an artificial neural network-based method for concentration-time predictions.

CPT: pharmacometrics & systems pharmacology
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...

[Automation and application of robotics in the pathology laboratory].

Der Pathologe
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...

Practical foundations of machine learning for addiction research. Part II. Workflow and use cases.

The American journal of drug and alcohol abuse
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...

Reducing prediction volatility in the surgical workflow recognition of endoscopic pituitary surgery.

International journal of computer assisted radiology and surgery
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...

Personalized workflows in reconstructive dentistry-current possibilities and future opportunities.

Clinical oral investigations
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: ...

PATG: position-aware temporal graph networks for surgical phase recognition on laparoscopic videos.

International journal of computer assisted radiology and surgery
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...

Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos.

Medical image analysis
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...