Abstract

We review our experience with integrating Artificial Intelligence (AI) into healthcare systems following the Model-Driven Development (MDD) approach. At a time when AI has the potential to instigate a paradigm shift in the health sector, better integrating healthcare experts in the development of these technologies is of paramount importance. We see MDD as a useful way to better embed non-technical stakeholders in the development process. The main goal of this review is to reflect on our experiences to date with MDD and AI in the context of developing healthcare systems. Four case studies that fall within that scope but have different profiles are introduced and summarised: the MyMM application for Multiple Myeloma diagnosis; CNN-HAR, that studies the ability to do AI on the edge for IoT-supported human activity recognition; the HIPPP web based portal for patient information in public health; and Cinco de Bio, a new model driven platform used for the first time to support a better cell-level understanding of diseases. Based on the aforementioned case studies we discuss the characteristics, the challenges faced and the postive outcomes achieved.

Original languageEnglish
Title of host publicationBridging the Gap Between AI and Reality - 1st International Conference, AISoLA 2023, Selected Papers
EditorsBernhard Steffen
PublisherSpringer Science and Business Media Deutschland GmbH
Pages245-265
Number of pages21
ISBN (Print)9783031737404
DOIs
Publication statusPublished - 2025
Event1st International Symposium on Leveraging Applications of Formal Methods, AISoLA 2023 - Crete, Greece
Duration: 23 Oct 202328 Oct 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14129 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Symposium on Leveraging Applications of Formal Methods, AISoLA 2023
Country/TerritoryGreece
CityCrete
Period23/10/2328/10/23

Keywords

  • Artificial Intelligence Applications
  • Digital Thread
  • Health Informatics
  • Low-code/no-code
  • Model Driven Development

Fingerprint

Dive into the research topics of 'Model Driven Development for AI-Based Healthcare Systems: A Review'. Together they form a unique fingerprint.

Cite this