How Does Comparison With Artificial Intelligence Shed Light on the Way Clinicians Reason? A Cross-Talk Perspective

Vincent P. Martin, Jean Luc Rouas, Pierre Philip, Pierre Fourneret, Jean Arthur Micoulaud-Franchi, Christophe Gauld*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

In order to create a dynamic for the psychiatry of the future, bringing together digital technology and clinical practice, we propose in this paper a cross-teaching translational roadmap comparing clinical reasoning with computational reasoning. Based on the relevant literature on clinical ways of thinking, we differentiate the process of clinical judgment into four main stages: collection of variables, theoretical background, construction of the model, and use of the model. We detail, for each step, parallels between: i) clinical reasoning; ii) the ML engineer methodology to build a ML model; iii) and the ML model itself. Such analysis supports the understanding of the empirical practice of each of the disciplines (psychiatry and ML engineering). Thus, ML does not only bring methods to the clinician, but also supports educational issues for clinical practice. Psychiatry can rely on developments in ML reasoning to shed light on its own practice in a clever way. In return, this analysis highlights the importance of subjectivity of the ML engineers and their methodologies.

Original languageEnglish
Article number926286
JournalFrontiers in Psychiatry
Volume13
DOIs
Publication statusPublished - 9 Jun 2022
Externally publishedYes

Keywords

  • artificial intelligence
  • clinical decision
  • clinical practice
  • cross-talk
  • machine learning

Fingerprint

Dive into the research topics of 'How Does Comparison With Artificial Intelligence Shed Light on the Way Clinicians Reason? A Cross-Talk Perspective'. Together they form a unique fingerprint.

Cite this