OP30 <u>M</u>odel for <u>AS</u>sessing The Value Of <u>AI</u> In Medical Imaging (MAS-AI)

Introduction Artificial intelligence (AI) is seen as one of the major disrupting forces in future healthcare system. However, assessment value these new technologies still unclear and no agreed international HTA-based guideline exists. Therefore, a Model for ASsessing AI (MAS-AI) medical imaging was developed by multidisciplinary group experts patient representatives. Methods The MAS-AI based on four steps. First literature review existing guides, evaluations, assessments field (5,890 studies were assessed with 86 included scoping review). Next, interviews leading researchers Denmark. third step two workshops where decision-makers, organizations discussed crucial topics when evaluating AI. Between workshops, team revised model according to comments from workshop-participants. Last validation workshop Canada. Results has three parts. There are steps covering nine domains then advises evaluation process. Step 1 contains description patients, how AI-model developed, initial ethical legal considerations. Finishing prerequisite moving 2. In 2, outcomes AI-application done five remaining domains: safety, clinical aspects, economics, organizational aspects aspects. last part, advices facilitate good Conclusions We have an HTA framework support prospective phase while introducing novel into imaging. can assist (and companies) selecting relevant outcome measures applications. It important ensure uniform valid decisions regarding adoption technology structured process tool. help provide greater transparency all parties involved.