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. 2024 Jul 25;8:e52878. doi: 10.2196/52878

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©Mohammad Noroozi, Ace St John, Caterina Masino, Simon Laplante, Jaryd Hunter, Michael Brudno, Amin Madani, Marta Kersten-Oertel. Originally published in JMIR Formative Research (https://formative.jmir.org), 25.07.2024.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

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(A) The artificial intelligence (AI) output of the frame that is used to calculate the user’s score. The 3 colors, green, red, and blue, denote the Go zones, No-Go zones, and neutral zones, respectively. The right frame provides a visualization of the Go zone (ie, the ideal answer to where they should have dissected in the given scenario). (B) Augmented reality heatmap showing the Go zone. Note that the Go zone is depicted as a heatmap (from red through orange, yellow, and green); with red denoting high confidence of the AI model that this is a safe zone to dissect, and green lower confidence that this is a safe zone.