Artificial intelligence for diagnosing neoplasia on digital cholangioscopy: development and multicenter validation of a convolutional neural network model

Robles-Medranda Carlos et al.

Robles-Medranda et al. aimed to develop a convolutional neural network (CNN) model for detecting neoplastic lesions during real-time digital single-operator cholangioscopy (DSOC) and to clinically validate the model through comparisons with DSOC expert and nonexpert endoscopists.

Computer-aided diagnosis for optical diagnosis of diminutive colorectal polyps including sessile serrated lesions: a real-time comparison with screening endoscopists

Houwen Britt BSL et al.

Houwen et al. aimed to compare the accuracy of the optical diagnosis of diminutive colorectal polyps, including sessile serrated lesions (SSLs), between a computer-aided diagnosis (CADx) system and endoscopists during real-time colonoscopy.

Endoscopic management of gastrointestinal wall defects, fistula closure, and stent fixation using through-the-scope tack and suture system

Krishnan Arunkumar et al.

Multiple devices are available for tissue approximation. A new through-the-scope suturing (TTSS) device has recently been introduced; however, data on its scope of use and clinical effectiveness are limited. Krishnan et al. aimed to assess the clinical course and effectiveness of this TTSS device.