Application of artificial intelligence algorithms within the medical context for non-specialized usersthe CARTIER-IA platform

  1. Francisco José García-Peñalvo 1
  2. Andrea Vázquez-Ingelmo 1
  3. Alicia García-Holgado 1
  4. Jesús Sampedro Gómez 2
  5. Antonio Sánchez-Puente 2
  6. Víctor Vicente-Palacios 3
  7. P. Ignacio Dorado-Díaz 2
  8. Pedro L. Sánchez 2
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

  2. 2 Hospital Universitario de Salamanca
    info

    Hospital Universitario de Salamanca

    Salamanca, España

    ROR https://ror.org/0131vfw26

  3. 3 Philips Healthcare España
    info

    Philips Healthcare España

    Madrid, España

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Revista:
IJIMAI

ISSN: 1989-1660

Año de publicación: 2021

Volumen: 6

Número: 6

Páginas: 46-53

Tipo: Artículo

DOI: 10.9781/IJIMAI.2021.05.005 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: IJIMAI

Resumen

The use of advanced algorithms and models such as Machine Learning, Deep Learning and other related approaches of Artificial Intelligence have grown in their use given their benefits in different contexts. One of these contexts is the medical domain, as these algorithms can support disease detection, image segmentation and other multiple tasks. However, it is necessary to organize and arrange the different data resources involved in these scenarios and tackle the heterogeneity of data sources. This work presents the CARTIER-IA platform: a platform for the management of medical data and imaging. The goal of this project focuses on providing a friendly and usable interface to organize structured data, to visualize and edit medical images, and to apply Artificial Intelligence algorithms on the stored resources. One of the challenges of the platform design is to ease these complex tasks in a way that non-AI-specialized users could benefit from the application of AI algorithms without further training. Two use cases of AI application within the platform are provided, as well as a heuristic evaluation to assess the usability of the first version of CARTIER-IA.

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