Personalized dental medicine, artificial intelligence and their relevance for dentomaxillofacial imaging.
Kuo Feng HungAndy Wai Kan YeungMichael M BornsteinFalk SchwendickePublished in: Dento maxillo facial radiology (2022)
Personalized medicine refers to the tailoring of diagnostics and therapeutics to individuals based on one's biological, social, and behavioral characteristics. While personalized dental medicine is still far from being a reality, advanced artificial intelligence (AI) technologies with improved data analytic approaches are expected to integrate diverse data from the individual, setting, and system levels, which may facilitate a deeper understanding of the interaction of these multi level data and therefore bring us closer to more personalized, predictive, preventive, and participatory dentistry, also known as P4 dentistry. In the field of dentomaxillofacial imaging, a wide range of AI applications, including several commercially available software options, have been proposed to assist dentists in the diagnosis and treatment planning of various dentomaxillofacial diseases, with performance similar or even superior to that of specialists. Notably, the impact of these dental AI applications on treatment decision, clinical and patient-reported outcomes, and cost-effectiveness has so far been assessed sparsely. Such information should be further investigated in future studies to provide patients, providers, and healthcare organizers a clearer picture of the true usefulness of AI in daily dental practice.
Keyphrases
- artificial intelligence
- big data
- patient reported outcomes
- healthcare
- machine learning
- oral health
- deep learning
- electronic health record
- high resolution
- end stage renal disease
- chronic kidney disease
- ejection fraction
- primary care
- data analysis
- newly diagnosed
- small molecule
- prognostic factors
- health information
- mass spectrometry
- physical activity
- peritoneal dialysis
- patient reported
- single molecule
- health insurance
- combination therapy
- current status
- virtual reality
- fluorescence imaging
- atomic force microscopy
- high speed