Table 2.

Results of the top 12 ranked statements third round with the top 12 ranked statements.

Rank	Statements	Total score	Mean score
1	AI for automatic detection, identification, characterization (type, size, severity), and differentiation of SB lesions: inflammatory lesions (erosion, ulceration, edema, etc.), vascular lesions, bulges, atrophy.	174	9.15
2	How do the overall results of AI and expert reading correlate (for all lesions/relevant lesions)?	172	9.05
3	Feasibility and accuracy in the real-world setting.	171	9.00
4	AI for automatic detection/identification, characterization (type, size, severity), and differentiation of colon lesions: ulcers, vascular lesions, polyps.	157	8.26
5	Auditing of CE systems after incorporation in clinical practice.	155	8.15
6	How to reduce the false-positive rate without decreasing sensitivity?	155	8.15
7	Creation of algorithms for simultaneous identification of multiple lesion types.	151	7.94
8	Adoption of AI by clinicians.	150	7.89
9	What are the optimal clinical end-points for the evaluation of AI software?	149	7.84
10	What are the optimal clinical trial design and end-points to compare different AI systems for CE?	149	7.84
11	How accurate should AI be to be incorporated in clinical trials?	147	7.73
12	What accuracy parameters are potential targets for AI utilization?	145	7.63

AI, artificial intelligence; CE, capsule endoscopy; SB, small bowel.