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"Electronic Pediatrician", a non-machine learning prototype artificial intelligence software for pediatric

Andrei-Lucian Drăgoi1,2, Roxana-Maria Nemeș1

  • 1Medical Doctoral School of University "Titu Maiorescu", Bucharest 040051, Romania.

World Journal of Methodology
|August 29, 2025
PubMed
Summary

The Electronic Pediatrician (EPed) is a novel non-machine learning artificial intelligence (nml-AI) knowledge-based system (KBS) that provides physiopathology-based diagnosis and treatment guidance for pediatric patients. This system aids clinicians in reasoning through complex cases and developing effective treatment strategies.

Keywords:
Computer-assisted medical diagnosisDXPlainGeneral pediatricsKnowledge-based systemsNon-machine learning artificial intelligence“Electronic Pediatrician” software

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Pediatrics

Background:

  • Knowledge-based systems (KBS) have been utilized for computer-assisted medical diagnosis since the 1970s.
  • Existing systems include VisualDx, GIDEON, DXPlain, CADUCEUS, Internist-I, and Mycin.
  • These systems aim to support clinical decision-making in various medical fields.

Purpose of the Study:

  • To detail the Electronic Pediatrician (EPed), a prototype non-machine learning artificial intelligence (nml-AI) knowledge-based system (KBS).
  • EPed is designed for the differential and positive diagnosis and treatment of ill children, with a database in Romanian.
  • The system focuses on physiopathological reasoning for pediatric clinical cases.

Main Methods:

  • EPed version 2.0 utilizes a physiopathological approach to pediatric case analysis.
  • The system incorporates 302 defined physiopathological 'clusters'.
  • It is capable of diagnosing 269 distinct pediatric diseases.

Main Results:

  • The EPed prototype can diagnose 269 pediatric diseases, encompassing infectious and non-infectious conditions.
  • Diagnosable conditions include common respiratory, digestive, renal, and central nervous system infections.
  • The system also addresses non-infectious diseases such as autoimmune disorders, oncological conditions, genetic diseases, intoxications, and surgical pathologies.

Conclusions:

  • EPed is the first and only physiopathology-based nml-AI KBS specifically for general pediatrics.
  • It is also the first pediatric KBS developed in Romania for medical professionals.
  • EPed uniquely provides physiopathology-based diagnosis and identifies explanatory 'clusters' to aid clinical reasoning and treatment planning.