Fig. 5: Analysis of Evaluator’s decision confidence with respect to the Standard of Care Dose fractionation (2 Gy/fx for NSCLC RT; 10 Gy/fx for HCC SBRT).
From: Intricacies of human–AI interaction in dynamic decision-making for precision oncology
The first, second, and third column of figures correspond to NSCLC, NSCLC excluding evaluators with zero decision adjustment, and HCC, respectively. All evaluators in HCC adjusted at least one of their decisions. 2D Scatter plots a–c show the relationship between unassisted decision (\({un}\)) confidence (0-5, 5 being the highest level) and closeness of \({un}\) to the standard of care dose decision values (NSCLC:\(-\left|{un}-2\right|\)Gy/fx); HCC: \(-\left|{un}-10\right|\)Gy/fx). 2D Scatter plots d, e, and f show the relationship between AI-assisted decision (\({aia}\)) confidence and closeness of \({un}\) to the standard of care dose decision values (NSCLC:\(-\left|{aia}-2\right|\) Gy/fx); HCC: \(-\left|{aia}-10\right|\)Gy/fx). All plots include the Spearman correlation coefficients, p-values (two-sided t test), and co-variance ellipse (95 % confidence). Covariance ellipses are included for a visual insight about the data distribution.
