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Updated: Jun 10, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Artificial Intelligence Assistance Does Not Provide Immediate Benefit for Right Upper Quadrant Window Acquisition.

Jacob Lenning¹, Corey L Garrison¹, Aaron R Mahoney¹

¹Emergency Medicine, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, USA.

|May 4, 2026

Summary

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Association Areas of the Cortex

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...

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Artificial intelligence (AI) in point-of-care ultrasound (POCUS) did not improve image quality or speed up the Focused Assessment with Sonography for Trauma (FAST) exam for trainees. AI assistance increased acquisition time for both novice and experienced emergency medicine residents.

Area of Science:

Medical Imaging
Artificial Intelligence in Medicine
Emergency Medicine Ultrasound

Background:

Point-of-care ultrasound (POCUS) increasingly features AI-assisted acquisition.
The utility of AI for the Focused Assessment with Sonography for Trauma (FAST) exam is not well-established.
This study investigates AI's impact on FAST exam acquisition for emergency medicine trainees.

Purpose of the Study:

To evaluate the immediate effect of AI auto-labeling and auto-grading on FAST exam acquisition time and image quality.
To compare AI's impact on novice versus experienced emergency medicine (EM) physician trainees.
To determine if AI assistance aids in acquiring the right upper quadrant (RUQ) FAST exam window.

Main Methods:

A repeated-measures study involving 14 novice and 10 experienced EM trainees.

Keywords:

artificial intelligence and education focused assessment with sonography for trauma (fast)medical education and training point-of-care-ultrasound ultrasound education

Related Experiment Videos

Last Updated: Jun 10, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Trainees acquired RUQ FAST exam windows with and without AI assistance on standardized patients.

Acquisition time was measured in seconds, and image quality was assessed based on structure visibility, plane correctness, and probe orientation.

Main Results:

AI assistance significantly increased acquisition time for both novice (85 vs 53 seconds) and experienced trainees (44 vs 28 seconds).
Experienced trainees were more likely to meet image quality criteria than novices.
No significant difference in image quality was observed with or without AI assistance within either group.

Conclusions:

AI auto-labeling and auto-grading increased RUQ FAST exam acquisition time for physician trainees.
AI assistance did not immediately improve image quality for either novice or experienced trainees.
Current AI features are unlikely to assist trainees in acquiring RUQ FAST exam windows during single attempts.