Artificial intelligence in clinical health care applications: viewpoint

Michael van Hartskamp, Sergio Consoli, Wim Verhaegh, Milan Petkovic, Anja van de Stolpe (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)
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Abstract

The idea of artificial intelligence (AI) has a long history. It turned out, however, that reaching intelligence at human levels is more complicated than originally anticipated. Currently, we are experiencing a renewed interest in AI, fueled by an enormous increase in computing power and an even larger increase in data, in combination with improved AI technologies like deep learning. Healthcare is considered the next domain to be revolutionized by artificial intelligence. While AI approaches are excellently suited to develop certain algorithms, for biomedical applications there are specific challenges. We propose six recommendations-the 6Rs-to improve AI projects in the biomedical space, especially clinical health care, and to facilitate communication between AI scientists and medical doctors: (1) Relevant and well-defined clinical question first; (2) Right data (ie, representative and of good quality); (3) Ratio between number of patients and their variables should fit the AI method; (4) Relationship between data and ground truth should be as direct and causal as possible; (5) Regulatory ready; enabling validation; and (6) Right AI method.

Original languageEnglish
Article numbere12100
Number of pages8
JournalInteractive Journal of Medical Research
Volume8
Issue number2
DOIs
Publication statusPublished - 5 Apr 2019

Keywords

  • Artificial intelligence
  • Bayesian modeling
  • Clinical data
  • Deep learning
  • Medical informatics
  • deep learning
  • medical informatics
  • artificial intelligence
  • clinical data

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