•  
  •  
 

Abstract

The document titled "Pull or Play? The interpretation of a novel, AI-powered on-field decision support tool" explores the development and application of the Injury Impact Severity Score (IISS)™ for assessing traumatic brain injuries (TBIs), particularly in sports settings. It addresses the limitations of current assessment tools like the Glasgow Coma Scale (GCS) and proposes a more objective approach using patient-reported data and machine learning algorithms.

Key points include:

  • Background: TBIs are a significant health concern with under-reported cases and a lack of effective research. Current assessment tools like the GCS have limitations in accuracy and speed, especially in dynamic field settings.
  • Objective: Develop the IISS™ as a rapid, reliable tool to aid on-field decisions about whether an athlete should continue playing or be evaluated further.
  • Method: Utilized patient-reported data from the Sallie™ platform to create predictive models for critical TBI symptoms like loss of consciousness and coma. These models achieved high accuracy rates.
  • Results: Identified distinct patient clusters based on severity scores, validating the IISS™ effectiveness in differentiating TBI severity.
  • Discussion: Emphasizes the potential of IISS™ in enhancing TBI assessment, acknowledging the need for ongoing data refinement and user input to improve accuracy and applicability.

Overall, the IISS™ represents a significant advancement in TBI management, aiming to improve decision-making and patient outcomes in sports and potentially other high-pressure environments.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.