Health AI Central
Peer-Reviewed Publication
J Am Med Inform Assoc2026August 19, 2026Journal Article

SMART: structured, meaningful, auditable, responsible, and transparent documentation for clinical AI.

Ankur Lohachab1, Frédéric Jung2, Stef Rommes2, Gökhan Ertaylan2, Anshu Ankolekar3,4, Visara Urovi1
1Institute of Data Science, Department of Advanced Computing Sciences, Maastricht University, Maastricht, Limburg, 6229 GS, The Netherlands.
2Environmental Intelligence, Vlaamse Instelling voor Technologisch Onderzoek (VITO), 2400 Mol, Antwerp, Belgium.
3D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, Limburg, 6229 ER, The Netherlands.
4Maastro Clinic, Maastricht, Limburg, 6229 ET, The Netherlands.
PubMed DOI

Abstract

OBJECTIVE: Clinical AI systems and models increasingly need traceable documentation that makes intended use, performance evidence, transparency, and lifecycle status explicit, yet existing model cards, datasheets, reporting guidelines, and other documentation approaches do not consistently bring together structured clinical fields, vocabulary-linked cohort descriptions, structured performance repo…

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