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The Suture-TOOL System is intended for abdominal wall closure after laparotomy in patients 18 years old and older.

The Suture-TOOL System is a single-use, sterile, suture applicator with a polydioxanone resorbable suture pre-mounted to the needle. The polydioxanone monofilament synthetic absorbable sutures are prepared from polyester, poly(p-dioxanone). The empirical molecular formula of the polymer is as follows: -(0-CH2-CH2-O-CH2-CO)n- The sutures are dyed with D&C Violet No. 2 (21CFR§ 74.3602) and are available in size 2. The Suture-TOOL System includes the following: - Polydioxanone resorbable suture pre-mounted on the needle -1020S (Suture&Needle). - Suture-TOOL 1018S (suture applicator) Before use, the user must follow the instructions to attach the needle, preloaded with the suture, to the applicator.

The provided text describes the regulatory clearance of a medical device, the "Suture-TOOL System," and compares it to predicate and reference devices. However, it does not contain the specific information required to answer the questions about acceptance criteria and a study proving the device meets those criteria, particularly in the context of an AI/human-in-the-loop study.

This document focuses on the substantial equivalence of a physical surgical device (suture and applicator) based on material properties, performance testing (tensile strength, diameter, needle attachment), biocompatibility, and human factors testing related to its physical use. It does not describe an AI medical device or a study involving human readers and AI assistance for diagnostic or interpretative tasks.

Therefore, I cannot provide the requested information from the given text. The text does not provide:

1. A table of acceptance criteria and reported device performance: While it mentions USP criteria were met or exceeded for physical tests, it doesn't present these as specific acceptance criteria in a table format.
2. Sample size, data provenance, number of experts, adjudication method, MRMC study effect size, standalone performance, type of ground truth, training set size, or how ground truth for training was established. These are all concepts relevant to AI/diagnostic studies, which are not described in this regulatory submission for a physical surgical device.

The study referenced ("Börner and Montgomery, 2020; and Börner et al., 2022") appears to be a nonclinical performance study related to the physical surgical technique (SL/WL ratio, reducing needle stick injuries), not an AI performance study measuring diagnostic accuracy.

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