Systems for tracking disease progression in a patient
Summary
The USPTO granted patent US12593971B2 to Iterative Scopes, Inc. covering systems and methods for tracking colon disease progression over time using video segmentation, feature extraction, and disease evolution prediction. The patent includes 20 claims for technology that processes colonoscopic video data and predicts drug dosage for patients.
What changed
The USPTO has issued patent US12593971B2 (B2 reissue) to Iterative Scopes, Inc. for systems tracking disease evolution in a patient's colon. The technology receives colonoscopic video data, segments the data into portions of the colon, extracts features representing locations, and registers feature vectors to track disease progression and predict drug dosage. The patent covers computer vision and image analysis techniques specifically applied to colonoscopy procedures.
Healthcare providers and medical device companies developing AI-assisted colonoscopy systems should evaluate this patent for potential infringement risks. The intellectual property covers end-to-end disease tracking workflows from video capture through prediction, which may affect product development roadmaps for competing colon disease detection and monitoring technologies.
What to do next
- Review patent claims for potential infringement
- Assess freedom-to-operate for colonoscopic AI systems
- Consider licensing opportunities with Iterative Scopes
Archived snapshot
Apr 7, 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.
Systems for tracking disease progression in a patient
Grant US12593971B2 Kind: B2 Apr 07, 2026
Assignee
Iterative Scopes, Inc.
Inventors
Daniel Wang, Jonathan Ng
Abstract
Systems and methods for tracking an evolution of a disease in a colon of a patient over time are configured for operations including receiving video data representing a colon of a patient; segmenting the video data into segments representing portions of a colon of the patient; extracting, from the video data based on the segmenting, a set of features representing locations in the colon of the patient; and registering the feature vector as representing the colon of the patient for tracking the evolution of the disease in the colon of the patient. The system can be configured to predict disease progression predict drug dosage for patients.
CPC Classifications
A61B 1/31 A61B 1/000094 A61B 1/000096 G06T 7/0016 G06T 2207/10068 G06T 2207/20081 G06T 2207/30032
Filing Date
2022-11-18
Application No.
17990623
Claims
20
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Source
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