首页|University Medical Center Rotterdam Reports Findings in Kidney Transplants (Cher ry on Top or Real Need? A Review of Explainable Machine Learning in Kidney Trans plantation)
University Medical Center Rotterdam Reports Findings in Kidney Transplants (Cher ry on Top or Real Need? A Review of Explainable Machine Learning in Kidney Trans plantation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Transplant Medicine - Kidney Transplants is the subject of a report. According to news originating fro m Rotterdam, Netherlands, by NewsRx correspondents, research stated, “Research o n solid organ transplantation has taken advantage of the substantial acquisition of medical data and the use of artificial intelligence (AI) and machine learnin g (ML) to answer diagnostic, prognostic, and therapeutic questions for many year s. Nevertheless, despite the question of whether AI models add value to traditio nal modeling approaches, such as regression models, their ‘black box’ nature is one of the factors that have hindered the translation from research to clinical practice.” Our news journalists obtained a quote from the research from University Medical Center Rotterdam, “Several techniques that make such models understandable to hu mans were developed with the promise of increasing transparency in the support o f medical decision-making. These techniques should help AI to close the gap betw een theory and practice by yielding trust in the model by doctors and patients, allowing model auditing, and facilitating compliance with emergent AI regulation s. But is this also happening in the field of kidney transplantation? This revie w reports the use and explanation of ‘black box’ models to diagnose and predict kidney allograft rejection, delayed graft function, graft failure, and other rel ated outcomes after kidney transplantation. In particular, we emphasize the disc ussion on the need (or not) to explain ML models for biological discovery and cl inical implementation in kidney transplantation.”
RotterdamNetherlandsEuropeBiomedic ineCyborgsEmerging TechnologiesHealth and MedicineKidney TransplantsMa chine LearningOrgan TransplantsTransplant MedicineTransplantation
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