AI-Backed Advanced Medical Technology; Insights, Value, Innovation

Abstract

The innovation, creation, introduction and the widespread adoption of the more and more AI informed advanced medical technologies such as sensors, robots and many more raises new issues of conducting research and reporting quality and novelty of the results, and the impact on decisions (medical, financing) and market entry. This development has accelerated the process of collecting patient data for relevant clinical decisions, which has led, for instance, to the introduction of a new technology known as digital biomarkers. Much of the necessary and very important information cannot be measured directly, such as positive or negative attitudes towards robots, patient reported outcomes, quality of life, care-related quality of life however these are important medical outcome and measuring these outcomes are legally required. Often, data collection is not possible or not practical, in which case artificial intelligence can help you extract information that you didn't previously think could be produced from the database. Never before has there been such a demand for knowledge in the literature through systematic literature review and never before has it been so difficult as it is today, without which effective innovation is unthinkable. And finally, how much can we rely on AI-backed results, what is the value of it and how can AI is used in medical decision making? These questions are key issues for research and innovation in this area today. During the presentation, some of the results from our Thematic Excellence Programme (TKP) 2021-2025 named “Innovative and digital health technologies development and evaluation” is presented.

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