“…These factors include IOS calibration (Revilla‐León, Gohil, Barmak, Gómez‐Polo, et al, 2022), operator experience (Lim et al, 2018; Resende et al, 2021), ambient lighting conditions (Ochoa‐López et al, 2022; Revilla‐León, Jiang, et al, 2020; Revilla‐León, Subramanian, et al, 2020, 2021), scanning pattern (Ender & Mehl, 2013; Gómez‐Polo, Cimolai, et al, 2022; Li et al, 2022; Medina‐Sotomayor et al, 2018; Müller et al, 2016), cutting‐off and rescanning techniques (Gómez‐Polo et al, 2021; Revilla‐León, Quesada‐Olmo, et al, 2021; Revilla‐León, Sicilia, et al, 2022), arch width (Kaewbuasa & Ongthiemsak, 2021; Kim et al, 2020), arch location (Schimmel et al, 2021), number of teeth missing (Canullo et al, 2021; Ender et al, 2019; Rasaie et al, 2021; Schimmel et al, 2021), intraoral humidity (Chen et al, 2022), existing restorations (Lim et al, 2021; Revilla‐León, Young, et al, 2022), and characteristics of the surface being digitized (Carbajal Mejía et al, 2017; Jin‐Young Kim et al, 2021; Park et al, 2020). Additionally, implant position, angulation, and depth (Carneiro Pereira et al, 2021; Zhang et al, 2021), as well as the implant scan body design (Lawand et al, 2022; Mizumoto & Yilmaz, 2018; Moslemion et al, 2020), orientation of the geometry bevel feature of the implant scan body (Gómez‐Polo, Álvarez, et al, 2022), implant scan body wear (Arcuri et al, 2022), and clinical implant scan body height (Gómez‐Polo, Sallorenzo, et al, 2022) can also impact intraoral scanning accuracy.…”