| Autor: |
MAMMAS, Constantinos S., MAMMA, Adamantia S. |
| Zdroj: |
Studies in Health Technology & Informatics; 2024, Vol. 316, p884-888, 5p |
| Abstrakt: |
Aim: To extend reliability of the integrated Tele-Radiological (TRE) and Tele-Pathological (TPE) evaluation of the Renal Graft (RG) of Prometheus Digital Medical Device (pn 2003016) via integration with Machine Organ Perfusion and Tele-Robotics (Stamoulis Rb) in Organ Transplantation. Material and Methods: 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. Results: The integrated analysis of TRE and TPE of RG showed: Sensitivity= 96.7%, Specificity=100% and Accuracy=97.6%. Integration of Machine Organ Perfusion based results pattern recognition and AI programming offers deep learning and improves morbidity-mortality and organ viability prognosis. Conclusion: The TRE integrated with TPE and AI programming of RG machine organ perfusion 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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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