Table 4

Factors affecting AI model influence on report, patient management, or imaging recommendation

Predictor	Change	ORs (adjusted CI)	P value	Benjamini-Adjusted threshold	Significance
No of critical findings	Report	1.306 (1.132 to 1.507)	0	0.0042	Yes
No of critical findings	Patient management	1.267 (1.056 to 1.521)	0.001	0.0083	Yes
No of critical findings	Imaging recommendation	1.319 (1.035 to 1.681)	0.004	0.0125	Yes
Lateral CXR	Imaging recommendation	6.495 (1.297 to 32.530)	0.005	0.0167	Yes
Lateral CXR	Patient management	2.158 (0.837 to 5.565)	0.061	0.0208	No
Lateral CXR	Report	1.542 (0.848 to 2.805)	0.105	0.025	No
Radiologist experience	Report	0–5 years: Baseline 6–10 years: 0.255 (0.043 to 1.521) >10 years: 0.305 (0.065 to 1.439)	0.120	0.0292	No
Radiologist experience	Patient management	0–5 years: Baseline 6–10 years: 0.165 (0.009 to 3.214) >10 years: 0.378 (0.054 to 2.654)	0.262	0.0333	No
Radiologist experience	Imaging recommendation	0–5 years: Baseline 6–10 years: 0.357 (0.034 to 3.783) >10 years: 0.380 (0.044 to 3.287)	0.516	0.0458	No
Inpatient/outpatient	Imaging recommendation	1.550 (0.613 to 3.919)	0.326	0.0375	No
Inpatient/outpatient	Report	0.794 (0.476 to 1.323)	0.358	0.0417	No
Inpatient/outpatient	Patient management	0.818 (0.408 to 1.640)	0.572	0.0500	No

Significance testing by the Benjamini-Hochberg algorithm to account for multiple hypotheses. ORs derived from stepwise logistic regression coefficients with CIs calculated with Benjamini-adjusted thresholds. Radiologist experience analysed as a categorical variable with derived from stepwise logistic regression coefficients with CIs calculated with Benjamini-adjusted thresholds. Radiologist experience analysed as a categorical variable with ORs representing effect of changing experience levels from the baseline (0–5 years) to a different level.
AI, artificial intelligence; CXR, chest X-ray.