Integrated Cognitive Ergonomics (CE) upon AI and mobile PCR instant analyzer to extend reliability of the integrated Tele-Radiological (TRE) and Tele-Pathological (TPE) evaluation of the Renal Graft (RG) by Prometheus Digital Medical Device (pn 2003016) via integration with PCR instant analysis novel device and Tele-Robotics (Stamoulis Rb) in the pre-transplant period of Organ Transplantation. A sensitivity-specificity analysis by a simulation of the TRE of RG on 15 MR abdominal images by a radiologist and of the TPE of RG by 26 specialists based on 130 human RG images assessing damages and lesions. The integrated analysis of TRE and TPE of RG showed: Sensitivity = 96.7%, Specificity = 100% and Accuracy = 97.6%. Integration of a mobile PCR analyzer for instant analysis of specific biomarkers such as the cfDNA (dd-cfDNA) based results pattern recognition and AI programming offers deep learning and may recognize better a possible organ failure and improve organ viability prognosis. The TRE integrated with TPE and real time PCR instant analysis of RG based results pattern recognition by AI programming and Deep Learning supported virtual benching is feasible and seems more reliable for instant morbidity-mortality and organ viability prognosis in renal transplant decision support and operational planning.

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Integrated Cognitive Ergonomics of the Remote Evaluation of the Grafts with robotics and Mobile PCR Analyzer in Solid Organ Transplantation

  • Constantinos S. Mammas,
  • Adamantia S. Mamma

摘要

Integrated Cognitive Ergonomics (CE) upon AI and mobile PCR instant analyzer to extend reliability of the integrated Tele-Radiological (TRE) and Tele-Pathological (TPE) evaluation of the Renal Graft (RG) by Prometheus Digital Medical Device (pn 2003016) via integration with PCR instant analysis novel device and Tele-Robotics (Stamoulis Rb) in the pre-transplant period of Organ Transplantation. A sensitivity-specificity analysis by a simulation of the TRE of RG on 15 MR abdominal images by a radiologist and of the TPE of RG by 26 specialists based on 130 human RG images assessing damages and lesions. The integrated analysis of TRE and TPE of RG showed: Sensitivity = 96.7%, Specificity = 100% and Accuracy = 97.6%. Integration of a mobile PCR analyzer for instant analysis of specific biomarkers such as the cfDNA (dd-cfDNA) based results pattern recognition and AI programming offers deep learning and may recognize better a possible organ failure and improve organ viability prognosis. The TRE integrated with TPE and real time PCR instant analysis of RG based results pattern recognition by AI programming and Deep Learning supported virtual benching is feasible and seems more reliable for instant morbidity-mortality and organ viability prognosis in renal transplant decision support and operational planning.