What Is Dentistry?

Dentistry is a branch of medicine concerned with the diagnosis, prevention, and treatment of diseases and conditions affecting the teeth, gums, jaw, and surrounding oral structures. Beyond its clinical practice roots, dentistry has become an active domain for engineering and technology research, encompassing medical imaging, biomaterials, computer-aided design and manufacturing, robotics, and artificial intelligence. These engineering contributions have transformed how dental professionals examine patients, plan treatments, and fabricate restorations.

Dentistry draws from materials science, mechanical engineering, biomedical engineering, and digital signal processing. The structural mechanics of the tooth and jaw inform the design of implants and orthodontic devices, while imaging physics underpins the radiographic and optical modalities used for diagnosis. The intersection of dentistry with computational methods has accelerated substantially since the early 2000s, when chairside digital systems began replacing traditional impression-taking and manual laboratory fabrication.

Digital Imaging and Diagnosis

Radiographic imaging has long been central to dental diagnosis, and digital radiography now produces intraoral X-ray images with lower patient dose and immediate display compared to film-based systems. Cone beam computed tomography (CBCT) extends this capability into three dimensions, providing volumetric data of the jaw, sinuses, and root anatomy at spatial resolutions below 0.1 mm. Intraoral scanners capture high-resolution optical surface data of the dentition without impression materials, using structured light or confocal imaging principles to produce digital models suitable for CAD/CAM fabrication. Research on emerging technologies in oral health published by the National Institutes of Health documents how these imaging modalities are reshaping both diagnosis and treatment planning.

Computer-Aided Design and Fabrication

CAD/CAM dentistry encompasses the software design and automated milling or additive manufacturing of dental restorations such as crowns, bridges, veneers, and implant-supported prostheses. A patient's intraoral scan or CBCT data provides the geometric input; specialized design software proposes restoration geometry that the clinician refines; and a milling unit or 3D printer fabricates the final part from ceramic, resin composite, or metal alloy blocks. Zirconia restorations produced through this workflow achieve marginal fit accuracies comparable to laboratory-fabricated alternatives. Three-dimensional printing technologies, including stereolithography and selective laser sintering, are broadening the range of materials and geometries available for same-day production. A review of digital dentistry and its transformative impact in oral health care published in ScienceDirect examines the clinical outcomes associated with these workflows.

Artificial Intelligence in Dental Diagnostics

Machine learning methods have been applied to dental radiograph interpretation, periodontal disease staging, and caries detection. Convolutional neural network models trained on annotated bitewing and panoramic radiographs have demonstrated sensitivities and specificities for caries and periapical lesion detection that are comparable to those of experienced clinicians. Natural language processing is being explored for automated extraction of clinical findings from dental records. AI-assisted systems also support orthodontic treatment planning by predicting tooth movement outcomes and identifying skeletal discrepancies on cephalometric radiographs. The breadth of these applications is reviewed in PMC research on artificial intelligence in dentistry, which addresses both diagnostic performance and the regulatory considerations surrounding clinical deployment.

Applications

Dentistry has applications in a wide range of fields and technologies, including:

• Biomaterials research, through development of ceramic, polymer, and composite materials for restorations and implants
• Robotics and automation, in the design of autonomous systems for drilling and implant placement
• Telehealth, through remote dental consultation and AI-assisted triage platforms
• Forensic science, where dental records and imaging support identification of individuals
• Wearable sensing, by embedding oral sensors for systemic health monitoring