The FUSE enigma: Wide-angle or wide-minded?

Hassan, Cesare; Repici, Alessandro

doi:10.1016/j.gie.2018.08.022

Cited by 1 publication

(3 citation statements)

References 11 publications

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“…[17], and one prospective CADx trial [18]. Many considerations regarding AI trial designs are similar to the general evaluation of novel endoscopic technologies and have been discussed in detail elsewhere [19].…”

Section: Discussionmentioning

confidence: 99%

“…Many considerations regarding AI trial design are similar to the general evaluation of novel endoscopic technologies and have been discussed in detail elsewhere 19 . There are however unique challenges for AI trials.…”

Section: Discussionmentioning

confidence: 99%

“…RCTs for standalone CADe software, four parallel and one tandem in design [4,5,7,8,17], and one prospective CADx trial [18]. Many considerations regarding AI trial design are similar to the general evaluation of novel endoscopic technologies and have been discussed in detail elsewhere [19]. There are however unique challenges for AI trials.…”

Section: Clinical Adoption and Integration Into Endoscopymentioning

confidence: 99%

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Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method

et al. 2020

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Background and Aims Artificial intelligence (AI) research in colonoscopy is progressing rapidly but widespread clinical implementation is not yet a reality. We aimed to identify the top implementation research priorities. Methods An established modified Delphi approach for research priority setting was used. Fifteen international experts, including endoscopists and translational computer scientists/engineers from 9 countries participated in an online survey over 9 months. Questions related to AI implementation in colonoscopy were generated as a long-list in the first round, and then scored in two subsequent rounds to identify the top 10 research questions. Results The top 10 ranked questions were categorised into 5 themes. Theme 1: Clinical trial design/end points (4 questions), related to optimum trial designs for polyp detection and characterisation, determining the optimal end-points for evaluation of AI and demonstrating impact on interval cancer rates. Theme 2: Technological Developments (3 questions), including improving detection of more challenging and advanced lesions, reduction of false positive rates and minimising latency. Theme 3: Clinical adoption/Integration (1 question) concerning effective combination of detection and characterisation into one workflow. Theme 4: Data access/annotation (1 question) concerning more efficient or automated data annotation methods to reduce the burden on human experts. Theme 5: Regulatory Approval (1 question) related to making regulatory approval processes more efficient. Conclusions This is the first reported international research priority setting exercise for AI in colonoscopy. The study findings should be used as a framework to guide future research with key stakeholders to accelerate the clinical implementation of AI in endoscopy.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%