Artificial intelligence in colonoscopy

Table 5 Autofluorescence endoscopy

Ref.	Study design	Algorithm type	Dataset	Results
Arita et al[44]	Diagnostic model development	Calculation of a color-contrast index (CCI) for AFI	43 patients who underwent both WL and AF endoscopy	Sensitivity: 95.3%
				Specificity: 63.6%
Aihara et al[45]	Diagnostic model development	CAD-assisted AF	32 patients undergoing colonoscopy in a Japanese hospital	Sensitivity: 94.2%
				Specificity: 88.9%
				PPV: 95.6%
				NPV: 85.2%
Inomata et al[46]	Diagnostic model development	CAD-assisted AF	88 patients	Accuracy: 82.8%
				Sensitivity: 83.9%
				Specificity: 82.6%
				PPV: 53.1%
				NPV: 95.6%
Horiuchi et al[47]	Diagnostic model development	CAD-assisted AF	95 patients undergoing colonoscopy	Accuracy: 91.5%
				Sensitivity: 80.0%
				Specificity: 95.3%
				PPV: 85.2%
				NPV: 93.4%

AFI: Autofluorescence imaging; WL: White light; CAD: Computer-aided diagnosis; AF: Autofluorescence.