Evidence map›Paper›PMID 41128840›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

Enhancing trustworthiness in model-guided medicine with a model identity certificate (MIC): starting with interventional disciplines.

Heinz U Lemke

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Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

1 author.

Heinz U LemkeInternational Foundation for Computer Assisted Radiology and Surgery, Kuessaberg, Germany. hulemke@cars-int.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeModel-guided medicine (MGM) represents a paradigm shift in clinical practice, emphasizing the integration of computational models to support diagnosis, therapy planning and individualized patient care. The general and/or specific domain models, on which recommendations, decisions or actions of these systems are based, should reflect in their model identity certificate (MIC) the level of model relevance, truthfulness and transparency.

methodsMethods and tools for building models and their corresponding templates for a MIC in the domains of radiology and surgery should be drawn from relevant elements of a model science, specifically from mathematical modelling methods (e.g. for model truthfulness) and modelling informatics tools (e.g. for model transparency). Other elements or MIC classes to consider may include ethics, human-AI model interaction and model control.

resultsA generic template of a MIC with classes, attributes and examples for the general domain of health care is being proposed as an initial attempt to gain experience with the complexity of the problems associated with enhancing trustworthiness in models. This template is intended to serve as a framework for an instance of a specific template for robot assisted intervention for hepatocellular cancer within the domain of interventional radiology (work-in-progress).

conclusionGaining trustworthiness in intelligent systems based on models and related AI tools is a challenging undertaking and raises many critical questions, specifically those related to ascertain model relevance, truthfulness and transparency. The healthcare system, in particular the interventional medical disciplines, will have to be concerned about the availability of digital identity certificates to enable the control for these systems and related artefacts, e.g. digital twins, avatars, diagnostic and interventional robots, or intelligent agents.

Indexed as

Computer SimulationModels, TheoreticalHumansHepatocellular carcinoma (HCC)Model-guided medicine (MGM)Model identity certificate (MIC)Modelling informaticsModel science

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.