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Fig. 4 | Experimental Hematology & Oncology

Fig. 4

From: Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information

Fig. 4

Schematic diagram of the flow of medical data for the creation of MEDomics profiles and AI development, modified from Ref. [150]. Medical information generated by medical activities is continuously recorded in the Clarity (EHR) relational database. A custom report is generated from Clarity and sent to the MEDomics server for personal identification, data formatting, and feature extraction and calculation. Various other databases are processed by MEDomics, including tumor information systems (radiation), treatment planning systems, and imaging. Data are ultimately recorded and updated daily on a MEDomics server located behind the facility’s firewall with dual authentication access. Medical information flowing from hospital databases is collected in a structured database and becomes input to the MEDomicsLab platform. This information is integrated and processed by the MEDomicsLab engine and used in five computational modules: input, extraction, discovery, learning, and application. This creates a statistical model for Precision Oncology that can be returned to the hospital’s database to aid in clinical decision making

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