Implementation of Personalized Medicine by Artificial Intelligence Platform

Artificial intelligence (AI) can automate and dramatically accelerate Computer-Aided Detection (CADe) and Computer-Aided Diagnosis (CADx) by automatically processing medical data without the involvement of medical personnel on the screening stage and making it available on a regular basis nationwide. In this position paper, some our recent approaches are reviewed with the proposition to integrate them as a set of modern advanced medical services under the conditional name proactive AI-based platform (AIP). The main motive is to use the methods of AI, peripheral intelligence (Edge Intelligence-EI), the Internet of Things (IoT), wearable electronics (WE), and Big Data technologies (BDT). The additional promising way of the further development of AIP should include AI-based personalized medicine (AIPM) that can allow practitioners to find cures tuned for patients. AI-based personalized medicine promises to be transformative for stakeholders involved in the complex diseases. However, clinicians do not understand their suggestions and decisions. That is why the current real challenge is to build AI-based personalized medicine that can be accepted by clinical community. The current EU-funded project knowledge at the tips of your figures (KATY) is presented shortly which grasps the above challenge and proposes an AIPM approach that can bring medical CADe/CADx to the tips of the fingers of clinical community.

Automated summary

Artificial intelligence can automate and accelerate computer-aided detection and diagnosis in medicine, potentially transforming the treatment of complex diseases. The challenge lies in gaining acceptance and understanding from the clinical community.