Scendoni Roberto, Tomassini Luca, Cingolani Mariano, Perali Andrea, Pilati Sebastiano, Fedeli Piergiorgio
Department of Law, Institute of Legal Medicine, University of Macerata, 62100 Macerata, Italy.
International School of Advanced Studies, University of Camerino, 62032 Camerino, Italy.
Healthcare (Basel). 2023 Jul 8;11(14):1979. doi: 10.3390/healthcare11141979.
Artificial intelligence (AI) and machine learning (ML) span multiple disciplines, including the medico-legal sciences, also with reference to the concept of disease and disability. In this context, the International Classification of Diseases, Injuries, and Causes of Death (ICD) is a standard for the classification of diseases and related problems developed by the World Health Organization (WHO), and it represents a valid tool for statistical and epidemiological studies. Indeed, the International Classification of Functioning, Disability, and Health (ICF) is outlined as a classification that aims to describe the state of health of people in relation to their existential spheres (social, family, work). This paper lays the foundations for proposing an operating model for the use of AI in the assessment of impairments with the aim of making the information system as homogeneous as possible, starting from the main coding systems of the reference pathologies and functional damages. Providing a scientific basis for the understanding and study of health, as well as establishing a common language for the assessment of disability in its various meanings through AI systems, will allow for the improvement and standardization of communication between the various expert users.
人工智能（AI）和机器学习（ML）跨越多个学科，包括法医学科，也涉及疾病和残疾的概念。在此背景下，《国际疾病、损伤和死因分类》（ICD）是世界卫生组织（WHO）制定的疾病及相关问题分类标准，它是统计和流行病学研究的有效工具。事实上，《国际功能、残疾和健康分类》（ICF）被勾勒为一种旨在描述人们在其生存领域（社会、家庭、工作）方面健康状况的分类。本文为提出一种在损伤评估中使用AI的操作模型奠定基础，目的是从参考病理和功能损害的主要编码系统出发，使信息系统尽可能同质化。为健康的理解和研究提供科学依据，以及通过AI系统为残疾的各种含义评估建立通用语言，将有助于改善各专家用户之间的沟通并使其标准化。
