Ignite Creation Date:
2024-10-26 @ 3:36 PM
Last Modification Date:
2024-10-26 @ 3:36 PM
Study NCT ID:
NCT06535217
Status:
COMPLETED
Last Update Posted:
None
First Post:
2024-07-28
Brief Title:
Explainable Machine Learning for the Assessment of Donor Grafts in Liver Transplantation
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Explainable Machine Learning for the Assessment of Donor Grafts in Liver Transplantation
Status:
COMPLETED
Status Verified Date:
2024-07
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Clinically organ evaluation generally performed by the senior surgeons based on their experience and the visual and tactual inspection of the graft during procurement However it is proved that transplant surgeons intuition in the evaluation of donor risk and the estimation of steatosis is inconsistent and usually inaccurate Besides graft assessment is a dynamic process refer to amount of complex factors which is considered to be an incredibly complicated relationship that is nonlinear in nature Unfortunately the classical statistic techniques in vogue such as multiple regression require the statistical assumption of independent and linear relationships between explanatory and outcome variables and fail to analyse a large number of variables We attempted to develop liver graft assessment models by predicting postoperative DGF using several ML techniques Secondly the best prediction model was selected by comparing the performance of different AI algorithms and logistic regression Finally we sought to explain the decision made by AI algorithms using a visualization algorithm based on the best prediction model helping clinicians evaluate specific organ and whether to receive that may develop DGF postoperatively
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None