Three-dimensional soft tissue changes in orthodontic extraction and non-extraction patients: A prospective study. R Rongo, L Nissen, C Leroy, A Michelotti, PM Cattaneo, MA Cornelis.
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Training AI, Wearing Tech,
and Imaging Health.

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The purpose of this research was to introduce the use of 4D scanning technology to understand breast shape in motion. Twenty-six female participants who identified themselves as wearing Missy Size 18 were recruited for scanning. Three most common bust measurements were tracked in dynamic states and compared with the static state.
This is a retrospective serial longitudinal study of consecutively enrolled infants from September 2012 to July 2016 with BCLP who underwent NAM before primary lip and nose reconstructive surgery.
This study evaluates the effects of rapid maxillary expansion (RME) and mandibular midline distraction osteogenesis (MMDO) on facial soft tissues using three-dimensional (3D) images.
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This study believes 3D printed templates usage increases time efficiency, improves the match of skin flaps in donor and recipient arms, and allows us to control the amount of skin surplus without skin flap tip necrosis. In these procedures where time is of the essence, this team believes pre-operative planning is imperative for its success.
A 3D scan database of 200 healthy subjects (100 men and 100 women) performing hand motions was gathered using a 3dMD scanner. All subjects were scanned performing a movement at a frame-rate of 7.5 fps, resulting in ±100 scans per subject. Based on those scans, a new SSM was built with the help of the artificial SSM.
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This study focused on developing a novel deep-learning (DL)-based algorithm to predict the virtual soft tissue profile after mandibular advancement surgery and comparing its accuracy with the mass tensor model (MTM).