Anatomical Feature-Based Medical Prediction
Summary
USPTO published patent application US20260112496A1 on April 23, 2026, covering methods and systems for anatomical feature-based medical predictions. The application describes capturing and processing images to extract anatomical features, fitting 3D models to craniofacial and oral cavity structures, and generating predictions for medical conditions such as obstructive sleep apnea. The application was filed September 17, 2025, with four named inventors: Jatin Maniar, Narayanan Ramanathan, Ikshvanku Barot, and Hitesh Kalra.
“One of the methods includes capturing a set of images depicting at least a portion of a subject body.”
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GovPing monitors USPTO Patent Applications - Health Informatics (G16H) for new healthcare & life sciences regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 146 changes logged to date.
What changed
USPTO published patent application US20260112496A1 on April 23, 2026, disclosing methods and systems for anatomical feature-based medical predictions. The application describes capturing images of a subject body, processing them to extract images meeting anatomical pose or image quality thresholds, detecting target anatomical structures such as craniofacial or oral cavity structures, and generating anatomical features by fitting three-dimensional models and computing geometric metrics.
Medical device manufacturers developing diagnostic imaging systems or AI/ML-based diagnostic tools should monitor this published application as it represents prior art in the health informatics field. Healthcare technology companies and diagnostic software developers should evaluate whether their products or methods could be affected by the claims disclosed in this application.
Archived snapshot
Apr 23, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
ANATOMICAL FEATURE-BASED MEDICAL PREDICTION
Application US20260112496A1 Kind: A1 Apr 23, 2026
Inventors
Jatin Maniar, Narayanan Ramanathan, Ikshvanku Barot, Hitesh Kalra
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for anatomical feature-based medical predictions. One of the methods includes capturing a set of images depicting at least a portion of a subject body. The set of images are processed to extract a subset of images that satisfy one or more feature thresholds, such as thresholds related to anatomical pose or image quality. One or more target anatomical structures, such as craniofacial or oral cavity structures, are detected within the subset of images. One or more anatomical features are generated for the target anatomical structures, for instance, by fitting a three-dimensional model to the structures and computing geometric metrics. Using the generated anatomical features and stored medical data, a prediction is generated indicating a likelihood of a medical condition, such as obstructive sleep apnea or a comorbid condition, which can be transmitted to a device.
CPC Classifications
G16H 50/30 G06T 7/0012 G06T 7/11 G06T 7/33 G16H 10/20 G16H 10/60 G16H 30/20 G06T 2207/20081 G06T 2207/30036 G06T 2207/30201
Filing Date
2025-09-17
Application No.
19331908
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