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Updated: Sep 13, 2025

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

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

David Y Zhang¹, Rasoul Sali², Min Zhu²

¹NovinoAI; Department of Veterans Affairs, New York Harbor Healthcare System; david.zhang@novinopath.com.

Journal of Visualized Experiments : Jove

|July 28, 2025

Summary

This summary is machine-generated.

This study introduces FlexLIS, an AI-powered digital pathology software that enhances diagnostic accuracy and workflow. It streamlines reporting, supports quality control, and aids in diagnosing cancers like prostate and bladder cancer.

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Area of Science:

Digital Pathology
Artificial Intelligence in Medicine
Computational Pathology

Background:

Electronic reporting systems (LIS) and image management systems (IMS) have transformed pathology.
Integration of advanced IMS and AI algorithms further refines diagnostic precision and efficiency.
FlexLIS is a novel digital pathology software designed to leverage AI for enhanced pathology workflows.

Purpose of the Study:

To provide a protocol for pathologists on using FlexLIS software for slide image review and report generation.
To demonstrate the application of FlexLIS in diagnosing prostate cancer from needle core biopsies.
To showcase the utility of FlexLIS in bladder cancer screening using urine cytology.

Main Methods:

Utilizing FlexLIS software with integrated AI models for automated image analysis.
Generating comprehensive pathology reports by transcribing AI-driven results.
Applying the software protocol to specific clinical cases, including prostate needle core biopsies and urine cytology.

Main Results:

FlexLIS successfully integrates AI for image analysis and report generation, streamlining the diagnostic process.
The software supports quality control, special stain ordering, and consultations, enhancing workflow efficiency.
Demonstrated versatility in diagnosing prostate and bladder cancers, highlighting clinical applicability.

Conclusions:

FlexLIS, an AI-integrated digital pathology software, has the potential to significantly improve pathologists' diagnostic accuracy and workflow.
The software offers a versatile platform for various applications, including cancer diagnosis and screening.
This paper provides a practical guide for pathologists to adopt and utilize AI in their clinical practice.