Dental Monitoring SAS v. Align Technology, Inc.
District Court
Holding
The Federal Circuit affirmed summary judgment that the asserted claims are patent-ineligible under § 101. The claims were directed to abstract ideas of acquiring, analyzing, and reporting image information, and reciting a generic deep learning device trained on dental images did not supply an inventive concept.
Why It Matters
The decision reinforces that applying generic machine-learning tools to a new medical or dental imaging context, including with domain-specific training data, may not be enough for eligibility under Alice.
Full Summary
Key Points
- The claims covered using a cellphone or acquisition device to capture dental-arch or aligner images, analyze them with a trained deep learning device, and provide results or guidance.
- At Alice step one, the court treated the claims as part of the Electric Power Group line: collecting information, analyzing it, and displaying or sending results.
- The claimed “deep learning device” did not change the eligibility analysis because the specifications described conventional neural-network options, and the claimed training on more than 1,000 dental images was considered inherent to machine learning rather than a technological improvement.
- At Alice step two, the court found no inventive concept; using generic machine-learning components to perform orthodontic assessment more efficiently did not make the claims significantly more than the abstract idea.
- The court affirmed invalidity of claims 1 and 14 of the '248 patent and claims 1, 7, and 12 of the '409 patent under § 101.
- Fed. Cir. · Sept. 30, 2026In re Medical Components, Inc.
- Fed. Cir. · Sept. 30, 2026EPIC TECH, LLC v. PEN-TECH ASSOCIATES, INC.
- Fed. Cir. · Sept. 25, 2026Receivership Estate of AudienceScience Inc. v. Google LLC
- Fed. Cir. · Sept. 21, 2026BERKELEY*IEOR v. W.W. Grainger Inc.
- Fed. Cir. · Aug. 31, 2026Constellation Designs, LLC v. LG Electronics Inc.