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IMPatienT: An Integrated Web Application to Digitize, Process and Explore Multimodal PATIENt daTa.

Corentin Meyer1, Norma Beatriz Romero2, Teresinha Evangelista2

  • 1Complex Systems and Translational Bioinformatics (CSTB), ICube Laboratory, UMR 7357, University of Strasbourg, Strasbourg, France.

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|May 3, 2024
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Summary
This summary is machine-generated.

This study introduces IMPatienT, an open-source web application for integrating and analyzing multimodal patient data, including images and text. It aids in research and diagnosis by providing a unified platform for data processing and exploration.

Keywords:
Muscular diseasesartificial intelligencecomputer-assisteddiagnosiselectronic health recordshistologyimage processing

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Area of Science:

  • Biomedical Informatics
  • Digital Health
  • Medical Data Analysis

Background:

  • Medical imaging and reports generate multimodal patient data (images, text), crucial for research and diagnosis.
  • Current analysis tools are fragmented by data type, task, and research domain, hindering data exploitation.
  • There is a need for integrated solutions to manage and analyze diverse patient data effectively.

Purpose of the Study:

  • To develop IMPatienT, a flexible, open-source web application for digitizing, processing, and exploring multimodal patient data.
  • To address the fragmentation of data analysis tools in medical research.
  • To facilitate diagnosis decision support and patient registry functionalities.

Main Methods:

  • Developed IMPatienT with a modular architecture for data integration and analysis.
  • Enabled creation of domain-specific vocabularies for standardized data representation.
  • Integrated functionalities for free-text processing, image annotation, and segmentation.
  • Included a visualization dashboard and diagnosis decision support features.

Main Results:

  • Demonstrated IMPatienT's utility with a use case on 40 simulated congenital myopathy muscle biopsy reports.
  • Showcased the application's adaptability to different research domains through customizable vocabularies.
  • Validated IMPatienT's capability for exploratory data analysis and potential as a patient registry.

Conclusions:

  • IMPatienT offers a unified, flexible, and open-source solution for multimodal patient data analysis.
  • The application supports research, diagnosis, and patient data management across various medical domains.
  • IMPatienT can be adapted for diverse research needs, enhancing the exploitation of complex patient data.