Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Artificial Intelligence is the su bject of a report.According to news reporting originating in Munich,Germany,b y NewsRx journalists,research stated,"This study analyzes the potential cost-e ffectiveness of integrating an artificial intelligence (AI)-assisted system into the differentiation of incidental renal lesions as benign or malignant on MR im ages during follow-up.For estimation of qualityadjusted life years (QALYs) and lifetime costs,a decision model was created,including the MRI strategy and MR I + AI strategy." The news reporters obtained a quote from the research from Technical University Munich (TU Munich),"Model input parameters were derived from recent literature.Willingness to pay (WTP) was set to $100,000/QALY.Costs of $ 0 for the AI were assumed in the base-case scenario.Model uncertainty and costs of the AI system were assessed using deterministic and probabilistic sensitivit y analysis.Average total costs were at $8054 for the MRI strategy and $7939 for additional use of an AI-based algorithm.The model yi elded a cumulative effectiveness of 8.76 QALYs for the MRI strategy and of 8.77 for the MRI + AI strategy.The economically dominant strategy was MRI + AI.Dete rministic and probabilistic sensitivity analysis showed high robustness of the m odel with the incremental cost-effectiveness ratio (ICER),which represents the incremental cost associated with one additional QALY gained,remaining below the WTP for variation of the input parameters.If increasing costs for the algorith m,the ICER of $0/QALY was exceeded at $115,and the d efined WTP was exceeded at $667 for the use of the AI.This analysi s,rooted in assumptions,suggests that the additional use of an AI-based algori thm may be a potentially costeffective alternative in the differentiation of in cidental renal lesions using MRI and needs to be confirmed in the future.These results hint at AI's the potential impact on diagnosing renal masses."
NETL
NSTL