posted on 2021-11-09, 02:27authored byHao Ding, James Kit-Hon Tsoi
Four
studies were conducted in this PhD project. In the first two studies, a novel AI
algorithm with 3D-DCGAN for designing dental crowns was proposed and evaluated.
Dental crowns designed by AI algorithm on pre-molars and molars were compared respectively
to natural teeth, CEREC biogeneric design and technician design with the
parameters of cusp angle, 3D volume discrepancy, occlusal contact point number and
area, and in silico fatigue load. The
results revealed that the AI algorithm can design a dental crown mimicking natural
tooth morphology, such that the performance of load outweigh than other designs.
The latter two studies examined the application of AI image segmentation. In
the third study, the AI tool was used to quantitatively measure the initial bacterial
adhesion on scanning electron microscope images. To evaluate the efficiency of
different dental suction systems in the COVID-19 pandemic, in the fourth study
this AI tool was used to measure the number and area of aerosols/droplets
produced by a high-speed dental handpiece powered by an electrical surgical
motor. The AI tool was shown to be accurate and efficient in measuring and
detecting for these purposes, able to find a new relationship, and can be an
alternative method in evaluation of initial bacterial adhesion and dental aerosol/droplet
measurement.