Artificial intelligence in colonoscopy

Table 4 Laser-induced fluorescence spectroscopy

Ref.	Study design	Algorithm type	Dataset	Results
Kuiper et al[37]	Diagnostic model development	Diagnostic performance of WavSTAT	87 patients	Accuracy: 73.4%
				NPV: 74.4%
Rath et al[38]	Diagnostic model development	Diagnostic performance of WavSTAT for predicting polyp histology	27 patients	Accuracy: 84.7%
				Sensitivity: 81.8%
				Specificity: 85.2%
				NPV: 96.1%
Min et al[39]	Randomized controlled trial	Linked color imaging with laser endoscopic system vs WL	141 patients from 3 hospitals in China	Polyp detection rate of 91% in the LCI group, 73% in the WL group, P < 0.0001

WL: White light.