Intelligent Sensing in Dentistry
A Special Issue of Sensors (ISSN 1424-8220) belonging to the section "Biomedical Sensors".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 348
Editor
Interests: optical coherence tomography, intraoral sensor, restorative dental materials; resin composites; adhesives; invasive dentistry; diagnostic modalities; digital; clinical
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to present and disseminate the most recent advances in sensor technologies and Artificial Intelligence (AI) for dental imaging and diagnosis.
AI is rapidly reshaping diagnosis and predictive decision-making in dentistry. At its core, AI leverages machine learning and deep learning to extract clinically meaningful patterns from complex sensor data, often beyond human perception. Diagnostic AI emphasizes the sensing, detection, and classification of oral conditions, health, and disease using images, signals, or structured clinical data from various dental sensors, including imaging detectors, optical probes, and other physical or chemical sensing modalities.
For this Special Issue, we will consider contributions that address common data inputs in dentistry, including the following topics:
- Conventional radiographic imaging: CMOS/PSP X-ray sensors, image enhancement, and automated lesion detection
- Cone Beam Computed Tomography (CBCT) volumes: Flat-panel detector technology, 3D reconstruction algorithms, and AI-assisted volumetric analysis
- Intraoral scans and photographs: Optical sensing (structured light, confocal microscopy, or photogrammetry), 3D surface reconstruction, and color sensing.
- Optical Coherence Tomography (OCT): Interferometric sensing, fiber-optic probes, and high-resolution subsurface imaging of dental
- Other optical, mechanical, or chemical sensing and imaging: Fluorescence sensors, Raman spectroscopy, tactile sensors, and electrochemical sensors for biomarkers.
Key sensor-enabled diagnostic applications in dentistry encompass carrier and defect detection, periapical pathology identification, bone loss and periodontal staging, implant stability analysis, color matching, smile design, esthetics, temporomandibular disorder assessment, and oral cancer detection.
Beyond conventional diagnostic models, this Special Issue also welcomes emerging contributions related to agentic AI—AI systems capable of goal‑directed behavior, autonomous decision‑making, iterative reasoning, and interaction with clinical workflows—particularly when such systems are designed to integrate multi-modal sensor data from dental environments.
Dr. Alireza Sadr
Guest Editor
Manuscript Submission Information
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Keywords
- cone beam computed tomography
- intraoral scanner
- optical coherence tomography
- deep learning
- dental sensors
- digital dentistry
- diagnostic artificial intelligence
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