Company patents

Dentsply Sirona Inc.

Dentsply Sirona Inc. demonstrates a clear focus on its core 'Dentistry' category, which accounts for over 50% of its patent portfolio, yet saw a significant decline of 57.5% in patenting activity so far in 2026. Surprisingly, while core medical device categories show fluctuating trends, the company has shown an emerging focus on 'Healthcare Informatics', with an 800.0% YoY growth in 2025, indicating a strategic pivot towards digital health solutions despite a sharp decline so far in 2026.

Patent Trend by Technology Area

Yearly patent publications since 2023

Product themes

Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.

265 US filings (since 2023) · 12 categories · 19 themes

Advanced Dental Prosthetics & Implants

Development of new materials, designs, and manufacturing methods for dental prostheses, restorations, and implants, focusing on aesthetics, durability, biocompatibility, and integration with oral structures.

Dentistry
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119since 2023
+13.3%YoY
CAD/CAM Dental Device Fabrication

Computer-aided design (CAD) and computer-aided manufacturing (CAM) techniques, including additive manufacturing (3D printing) and subtractive manufacturing (milling), for producing custom dental appliances and prosthetics.

Dentistry
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103since 2023
+36.4%YoY
Intraoral 3D Imaging & Reconstruction

Technologies for acquiring and processing three-dimensional digital representations of the oral cavity, teeth, and surrounding structures, often involving scanners, image stitching, and surface differentiation algorithms.

Dentistry
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102since 2023
+9.7%YoY
3D Reconstruction & Modeling

Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.

Image Processing
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37since 2023
-23.1%YoY
Automated Oral Hygiene Devices

Electrically powered or mechanically actuated devices for daily oral care, such as toothbrushes and flossers, often incorporating features for enhanced cleaning, user feedback, or automated dispensing.

Dentistry
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31since 2023
+83.3%YoY
AI for Medical Diagnostics

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Medical Diagnostics & SurgeryDentistryImage ProcessingHealthcare Informatics
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25since 2023
+85.7%YoY
Biomedical Polymer Formulations

Polymer compositions tailored for medical and biological applications, including implantable devices, drug delivery systems, and diagnostic tools, emphasizing properties like biocompatibility, hydrolysis resistance, optical clarity, and specific mechanical characteristics.

Polymer Compositions
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25since 2023
-25.0%YoY
Surgical Imaging & Navigation

Systems and methods that use imaging technologies, computer vision, and augmented reality to provide real-time guidance, localization, and visualization during surgical procedures or for detailed anatomical assessment.

Medical Diagnostics & Surgery
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22since 2023
-50.0%YoY
AM Process Monitoring & Control

Systems and methods for real-time sensing, modeling, and closed-loop control of additive manufacturing parameters to ensure part quality, consistency, and process efficiency. This includes thermal management, atmospheric regulation, and precise material deposition.

Additive Manufacturing (3D Printing)Industrial Control Systems
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11since 2023
0.0%YoY
Metal Additive Manufacturing Processes

Techniques for building three-dimensional metal objects layer-by-layer using metal powders, including powder bed fusion, binder jetting, and directed energy deposition. This theme encompasses process mechanics, equipment design, and operational control for AM systems.

Additive Manufacturing (3D Printing)Plastics Shaping & MoldingElectronic Design Automation (CAD/EDA)
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10since 2023
-60.0%YoY
Polymer Composites with Functional Fillers

Polymer compositions incorporating inorganic or organic filler materials to impart specific functional properties such as thermal conductivity, flame retardancy, electrical conductivity, or enhanced mechanical strength and dimensional stability.

Polymer Compositions
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9since 2023
-50.0%YoY
Hybrid Additive-Subtractive Manufacturing

Integration of additive manufacturing with subtractive manufacturing (e.g., machining, cutting) or other traditional processes within a single system or workflow to create parts with improved features, surface finish, or material properties, or to enable new manufacturing paradigms.

Additive Manufacturing (3D Printing)
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7since 2023
0.0%YoY
AM Part Design & Topology Optimization

Computational methods and design principles for generating optimized geometries, internal structures (e.g., lattices, minimal surfaces), or functional features that are specifically enabled or enhanced by the capabilities of additive manufacturing.

Additive Manufacturing (3D Printing)
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3since 2023
0.0%YoY
Surgical Instrument Mechanisms

Focuses on the mechanical design, articulation, and actuation of hand-held or robotic surgical instruments, including improvements in stapling, cutting, grasping, and tissue manipulation.

Medical Diagnostics & Surgery
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2since 2023
new
Physiological Monitoring & Diagnostics

Systems and methods for non-invasive or minimally invasive collection and analysis of physiological data (e.g., blood pressure, electrolytes, genetic markers, B cell repertoire) to assess patient health status, screen for conditions, or aid in diagnosis.

Healthcare Informatics
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2since 2023
new
Medical Device Ergonomics

Focuses on the design of medical equipment for ease of use, mobility, and adaptability in various clinical or home environments, including carts, mounting systems, and compact form factors.

Medical Diagnostics & Surgery
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2since 2023
n/a
Real-time Graphics Rendering

Techniques and hardware architectures designed to efficiently generate and display complex 3D graphics, particularly for interactive applications like virtual reality, focusing on speed and visual quality.

Image Processing
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1since 2023
new
Personalized Digital Therapeutics

Digital platforms and systems that deliver tailored therapeutic interventions, guidance, or recommendations to patients based on their individual health data, biometric feedback, and computational models (e.g., AI/ML, physiological simulations).

Healthcare Informatics
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1since 2023
new
Rehabilitation & Biomechanical Assessment

Devices and software systems designed to facilitate physical rehabilitation, track human movement, evaluate posture, or assess biomechanical parameters for injury recovery, surgical planning, or performance improvement.

Healthcare Informatics
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1since 2023
new

Patents

Showing 1-10 of 479

Page 1 of 48
US 20260161835 A1APPLICATION
G06F30/12

COMPUTER-IMPLEMENTED METHOD AND SYSTEM FOR CUSTOMIZING AN INITIAL RESTORATION DESIGN BY A SPECIFIC USER

Filed:2025-12-10Pub:2026-06-11
Applicant:DENTSPLY SIRONA Inc.

The present invention relates to a computer-implemented method for customizing an initial restoration design ( 1 ) by a specific user, wherein the initial restoration design ( 1 ) is received; wherein a digital 3D model ( 2 ) of the dental situation of a patient is received. The method further comprises: a first artificial neural network for machine learning adds a generic offset ( 3 ) to each region of the initial restoration design ( 1 ) taking into account the digital 3D model ( 2 ), and outputs the result to a second artificial neural network for machine learning; the second artificial neural network for machine learning adds a user-specific offset ( 4 ) to each region of the output of the first artificial neural network taking into account the 3D digital model ( 2 ), and outputs the result to a specific user; wherein the specific user, using CAD tools, revises via a display unit the output of the second artificial neural network taking into account the 3D digital model ( 2 ) to produce a final restoration design ( 5 ); wherein the first artificial neural network is trained using a first training data set, the first training data set including the initial restoration designs ( 1 ), the 3D digital models ( 2 ), and the final restoration designs ( 5 ) produced by at least other users; and wherein the second artificial neural network is trained using a second training data set, the second training data set including initial restoration designs ( 1 ), the digital 3D models ( 2 ), and final restoration designs ( 5 ) produced by the specific user only.

US 20260157715 A1APPLICATION
A61B6/51

COMPUTER-IMPLEMENTED METHOD FOR X-RAY IMAGING WITH VARYING X-RAY DOSE

Filed:2025-12-03Pub:2026-06-11
Applicant:DENTSPLY SIRONA Inc.

The present invention relates to a computer-implemented method for generating a two dimensional final image ( 16 ) of at least a sub region of the maxillofacial region of a patient (P) with x-ray cone beam CT, the method comprising the steps of: defining a position and alignment of the 2D final image to be generated relative to said sub region of the dental maxillofacial region of the patient, wherein the 2D final image essentially being identical to a x-ray projection image of said sub region with parallel beam geometry; acquiring a plurality of x-ray projection images by rotating an x-ray source ( 3 ) and an x-ray detector ( 4 ) around the head of the patient, wherein the x-ray source and the x-ray detector are configured for a x-ray cone beam CT image acquisition; varying, during the acquisition step, the amounts of x-ray doses used for the acquisition of each of the x-ray projection images such that a total amount of the x-ray dose is increased above a predetermined level for the x-ray projection images that are acquired when the projection direction is within a first predetermined range of angles (a) centered about a first direction which is parallel to the normal direction of the 2D final image to be generated, and a total amount of the x-ray dose is reduced below the predetermined level for the x-ray projection images that are acquired when the projection direction is within a second predetermined range of angles (b) centered about a second direction which is perpendicular to the normal direction of the 2D final image to be generated; generating the 2D final image as a virtual projection with parallel x-ray beam geometry of the sub region of the maxillofacial region of a patient by using the x-ray projection images acquired.