Clinical applications and performance of intelligent systems in dental and maxillofacial radiology: A review
Intelligent systems (i.e., artificial intelligence), particularly deep learning, are machines able to mimic the cognitive
functions of humans to perform tasks of problem-solving and learning.
This field deals with computational models
that can think and act intelligently, as the human brain, and construct algorithms that can learn from data to make
predictions.
Artificial intelligence is becoming important in radiology due to its ability to detect abnormalities in
radiographic images that are unnoticed by the naked human eye.
These systems have reduced radiologists’ workload
by rapidly recording and presenting data, and thereby monitoring the treatment response with a reduced risk of
cognitive bias.
Intelligent systems have an important role to play and could be used by dentists as an adjunct to other
imaging modalities in making appropriate diagnoses and treatment plans.
In the field of maxillofacial radiology, these systems have shown promise for the interpretation of complex images, accurate localization of landmarks,
characterization of bone architecture, estimation of oral cancer risk, and the assessment of metastatic lymph nodes,
periapical pathologies, and maxillary sinus pathologies.
This review discusses the clinical applications and scope
of intelligent systems such as machine learning, artificial intelligence, and deep learning programs in maxillofacial
imaging. (
