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Table 2 Performance comparison among LPAIDS, model W, and model N

From: Real-time detection of laryngopharyngeal cancer using an artificial intelligence-assisted system with multimodal data

 

Accuracy (95% CI)

Sensitivity (95% CI)

Specificity (95% CI)

PPV (95% CI)

NPV (95% CI)

AUC

Images

 LPAIDS (All images)

0·956 (0·951–0·960)

0·948 (0·941–0·955)

0·964 (0·958–0·970)

0·965 (0·959–0·971)

0·946 (0·939–0·953)

0·974

 Model W (WLI images)

0·948 (0·942–0·954)

0·885 (0·870–0·899)

0·988 (0·984–0·992)

0·978 (0·971–0·985)

0·932 (0·923–0·941)

0·955

 LPAIDS (WLI images)

0·957 (0·951–0·962)

0·918 (0·906–0·931)

0·980 (0·975–0·985)

0·967 (0·959–0·975)

0·950 (0·943–0·958)

0·964

 Model N (NBI images)

0·935 (0·926–0·945)

0·978 (0·971–0·984)

0·798 (0·765–0·831)

0·940 (0·930–0·951)

0·917 (0·893–0·941)

0·978

 LPAIDS (NBI images)

0·954 (0·946–0·962)

0·977 (0·971–0·984)

0·878 (0·852–0·905)

0·963 (0·955–0·971)

0·923 (0·900–0·945)

0·981

Videos

 LPAIDS (All videos)

0·949 (0·931–0·968)

0·948 (0·922–0·974)

0·951 (0·924–0·977)

0·955 (0·930–0·979)

0·943 (0·916–0·971)

0·974

 Model W (WLI videos)

0·945 (0·921–0·968)

0·886 (0·835–0·937)

0·986 (0·970–1·000)

0·978 (0·953–1·000)

0·925 (0·890–0·959)

0·948

 LPAIDS (WLI videos)

0·950 (0.928–0.973)

0·919 (0·876–0·963)

0·972 (0·949–0·994)

0·958 (0·925–0·991)

0·945 (0·915–0·975)

0·968

 Model N (NBI videos)

0·926 (0·889–0·963)

0·971 (0·943–0·999)

0·804 (0·695–0·913)

0·931 (0·890–0·972)

0·911 (0·828–0·994)

0·974

 LPAIDS (NBI videos)

0·947 (0·916–0·979)

0·978 (0·954–1·000)

0·863 (0·768–0·957)

0·951 (0·916–0·986)

0·936 (0·866–1·000)

0·974

  1. AUC: area under the curve; PPV, positive predictive value;CI: confidence interval; LPAIDS: Laryngopharyngeal Artificial Intelligence Diagnostic System; NBI: narrow-band imaging; NPV, negative predictive value; WLI: white light imaging