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Can I read Model for ASsessing the value of Artificial Intelligence in medical imaging (MAS-AI) on EtoBox?
Model for ASsessing the value of Artificial Intelligence in medical imaging (MAS-AI) by Iben Fasterholdt; Tue Kjølhede; Mohammad Naghavi-Behzad; Thomas Schmidt; Quinnie T.S. Rautalammi; Malene G. Hildebrandt; Anne Gerdes; Astrid Barkler; Kristian Kidholm; Valeria E. Rac; Benjamin S.B. Rasmussen is a Economics, Econometrics and Finance article available to read on EtoBox.
What is Model for ASsessing the value of Artificial Intelligence in medical imaging (MAS-AI) about?
Abstract Objectives Artificial intelligence (AI) is seen as a major disrupting force in the future healthcare system. However, the assessment of the value of AI technologies is still unclear. Therefore, a multidisciplinary group of experts and patients developed a Model for ASsessing the value of AI (MAS-AI) in medical imaging. Medical imaging is chosen due to the maturity of AI in this area, ensuring a robust evidence-based model. Methods MAS-AI was developed in three phases. First, a literature review of existing guides, evaluations, and assessments of the value of AI in the field of medical imaging. Next, we interviewed leading researchers in AI in Denmark. The third phase consisted of two workshops where decision makers, patient organizations, and researchers discussed crucial topics for evaluating AI. The multidisciplinary team revised the model between workshops according to comments. Results The MAS-AI guideline consists of two steps covering nine domains and five process factors supporting the assessment. Step 1 contains a description of patients, how the AI model was developed, and initial ethical and legal considerations. In step 2, a multidisciplinary assessment of outco
Who reads Model for ASsessing the value of Artificial Intelligence in medical imaging (MAS-AI)?
It is typically read by researchers, students, and practitioners in Economics, Econometrics and Finance.
- Author
- Iben Fasterholdt; Tue Kjølhede; Mohammad Naghavi-Behzad; Thomas Schmidt; Quinnie T.S. Rautalammi; Malene G. Hildebrandt; Anne Gerdes; Astrid Barkler; Kristian Kidholm; Valeria E. Rac; Benjamin S.B. Rasmussen
- Published
- 2022
- Language
- EN
- Field
- Economics, Econometrics and Finance (Social Sciences)