{"title":"Model science and modelling informatics for a model identity card/certificate (MIC) in radiology and surgery.","authors":"Heinz U Lemke","doi":"10.1007/s11548-025-03431-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>A model identity card/certificate (MIC) aims at enhancing trustworthiness in systems that purport to provide intelligent responses to human questions and actions. It should serve those individuals who have a professional need for or who want to feel more comfortable, when writing about or interacting with intelligent machines. The general and/or specific domain models on which recommendations, decisions or actions of these systems are based, reflect in their MIC the level of model relevance, truthfulness and transparency.</p><p><strong>Methods: </strong>In the specific context of CARS, methods 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). Modelling methods for radiology and surgery may be drawn from applied mathematics, mathematical logic and/or syntax graph based text. Examples of supporting tools from modelling informatics are UML, MIMMS, model-based software engineering or model-based medical evidence.</p><p><strong>Results: </strong>For a Model Guided Precision Medicine as defined by SPIE MI 2025, a precise protocol relating to the origins of these models need to be reflected in the corresponding MIC templates for specific medical domains, for example, in radiology or surgery. An example of a MIC template (work-in-progress) in the domain of orthopaedic surgery serves to demonstrate some aspects of model relevance, truthfulness and transparency.</p><p><strong>Conclusion: </strong>Gaining 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, will have to be concerned about the availability of digital identity certificates for these systems and related artefacts, e.g. digital twins, avatars, robots, intelligent agents, etc. Further development of the elements of a model science with emphasis on modelling informatics may be the right path to take, preferably in cooperation with international R&D groups interested in the realisation of an MGM and corresponding MICs.</p>","PeriodicalId":51251,"journal":{"name":"International Journal of Computer Assisted Radiology and Surgery","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Assisted Radiology and Surgery","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s11548-025-03431-z","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: A model identity card/certificate (MIC) aims at enhancing trustworthiness in systems that purport to provide intelligent responses to human questions and actions. It should serve those individuals who have a professional need for or who want to feel more comfortable, when writing about or interacting with intelligent machines. The general and/or specific domain models on which recommendations, decisions or actions of these systems are based, reflect in their MIC the level of model relevance, truthfulness and transparency.
Methods: In the specific context of CARS, methods 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). Modelling methods for radiology and surgery may be drawn from applied mathematics, mathematical logic and/or syntax graph based text. Examples of supporting tools from modelling informatics are UML, MIMMS, model-based software engineering or model-based medical evidence.
Results: For a Model Guided Precision Medicine as defined by SPIE MI 2025, a precise protocol relating to the origins of these models need to be reflected in the corresponding MIC templates for specific medical domains, for example, in radiology or surgery. An example of a MIC template (work-in-progress) in the domain of orthopaedic surgery serves to demonstrate some aspects of model relevance, truthfulness and transparency.
Conclusion: Gaining 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, will have to be concerned about the availability of digital identity certificates for these systems and related artefacts, e.g. digital twins, avatars, robots, intelligent agents, etc. Further development of the elements of a model science with emphasis on modelling informatics may be the right path to take, preferably in cooperation with international R&D groups interested in the realisation of an MGM and corresponding MICs.
目的:身份证/证书模型(MIC)旨在提高系统的可信度,旨在为人类的问题和行为提供智能响应。它应该服务于那些有专业需求的人,或者那些想要在写作或与智能机器互动时感觉更舒服的人。这些系统的建议、决策或行动所基于的一般和/或特定领域模型,在其MIC中反映了模型相关性、真实性和透明度的水平。方法:在car的特定背景下,在放射学和外科领域建立MIC模型的方法和工具及其相应的模板应该从模型科学的相关元素中提取,特别是从数学建模方法(例如模型真实性)和建模信息学工具(例如模型透明度)中提取。放射学和外科的建模方法可以从应用数学、数学逻辑和/或基于文本的语法图中得出。来自建模信息学的支持工具的例子有UML、MIMMS、基于模型的软件工程或基于模型的医学证据。结果:对于SPIE MI 2025定义的模型指导精准医学,需要在特定医学领域(例如放射学或外科)的相应MIC模板中反映与这些模型起源相关的精确协议。整形外科领域的MIC模板(正在进行的工作)的一个例子用于演示模型相关性,真实性和透明度的某些方面。结论:在基于模型和相关人工智能工具的智能系统中获得可信度是一项具有挑战性的任务,并提出了许多关键问题,特别是与确定模型相关性、真实性和透明度相关的问题。特别是医疗保健系统,将不得不关注这些系统和相关人工制品的数字身份证书的可用性,例如数字双胞胎、化身、机器人、智能代理等。以建模信息学为重点的模型科学要素的进一步发展可能是正确的道路,最好是与对实现MGM和相应mic感兴趣的国际研发小组合作。
期刊介绍:
The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment.