Intelligent Intraocular Physiological Sensor System

Publication ID: 24-11857262_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Intraocular Physiological Sensor System,” Published Technical Disclosure No. 24-11857262_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857262_0008_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,262.

Summary of the Inventive Concept

A novel system integrating an intraocular physiological sensor with artificial intelligence, IoT, blockchain, and other technologies to provide real-time, personalized monitoring and treatment of glaucoma and other eye diseases.

Background and Problem Solved

The original patent disclosed an intraocular physiological sensor for measuring intraocular pressure. However, it had limitations in terms of data analysis, security, and real-time monitoring. The new inventive concept addresses these limitations by combining the sensor with AI, IoT, blockchain, and other technologies to provide a more comprehensive and effective system for glaucoma diagnosis and treatment.

Detailed Description of the Inventive Concept

The system comprises an intraocular physiological sensor, an AI module, a blockchain-based data storage module, and an IoT-enabled device. The sensor captures absolute intraocular pressure measurements, which are then transmitted to the AI module for analysis. The AI module uses machine learning algorithms to detect early signs of glaucoma and provide personalized treatment recommendations. The blockchain-based data storage module ensures secure storage and sharing of patient data. The IoT-enabled device enables real-time monitoring and alerts patients and healthcare providers. Additionally, the system can integrate with cloud-based data analytics platforms and mobile applications to provide a comprehensive monitoring and treatment system.

Novelty and Inventive Step

The new claims introduce the integration of AI, IoT, blockchain, and other technologies with the intraocular physiological sensor, which is not disclosed in the original patent. The inventive step lies in the synergistic combination of these technologies to provide a more effective and comprehensive system for glaucoma diagnosis and treatment.

Alternative Embodiments and Variations

Alternative embodiments of the system could include the use of different AI algorithms, integration with other medical devices, or the use of different blockchain platforms. Variations could include the development of specialized sensors for specific eye diseases or the integration of the system with electronic health records.

Potential Commercial Applications and Market

The intelligent intraocular physiological sensor system has significant commercial potential in the ophthalmology and healthcare industries. It can be marketed as a comprehensive monitoring and treatment system for glaucoma and other eye diseases, providing real-time data and personalized treatment recommendations. The system's potential market includes ophthalmology clinics, hospitals, and healthcare providers.

CPC Classifications

SectionClassGroup
A A61 A61B3/16
A A61 A61B3/0025
A A61 A61B5/076
A A61 A61B2560/0257

Field of Art

Medical Device Technology, specifically implantable physiological sensors for ophthalmological monitoring, involving biomedical engineering, sensor design, data processing, and medical diagnostics

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with expertise in microsensor technology, wireless communication, data analytics, and medical monitoring systems, holding advanced degrees in bioengineering or related fields

Obviousness Rationale

A PHOSITA would recognize that integrating advanced digital technologies like AI, IoT, and blockchain with existing intraocular pressure sensing systems represents a predictable technological evolution. The source patent establishes a foundational framework for intraocular pressure measurement, which naturally invites enhancement through contemporary digital monitoring and analysis techniques. The proposed variations represent logical extensions of the original sensor technology using well-established computational and communication methodologies.

Obvious Combinations & Variations

Source Patent Element
Intraocular pressure sensing implant for capturing absolute measurements
PTD Variation
Adding AI module for machine learning analysis of pressure measurements
Obviousness Reasoning
Applying machine learning to medical sensor data is a known technique for extracting predictive insights, representing a straightforward application of contemporary data processing methods
Source Patent Element
External device for processing sensor measurements
PTD Variation
Implementing blockchain-based secure data storage and IoT communication
Obviousness Reasoning
Enhancing medical data transmission with blockchain and IoT represents a predictable technological improvement in secure, distributed medical monitoring systems
Source Patent Element
Sensor configured for capturing physiological measurements
PTD Variation
Integrating MEMS module for dynamic sensor positioning within eye
Obviousness Reasoning
Micro-electro-mechanical systems (MEMS) are a known technique for creating adaptive, self-adjusting medical implants, representing a logical design optimization
Source Patent Element
Intraocular pressure measurement system
PTD Variation
Cloud-based analytics platform for comprehensive data processing
Obviousness Reasoning
Migrating medical sensor data processing to cloud platforms is a standard technological progression with predictable benefits in scalability and computational power
35 U.S.C. § 103 Summary: Based on US Patent 11857262's disclosure of an intraocular pressure sensing system, the present publication demonstrates that a person of ordinary skill in the art would find the integration of AI, blockchain, IoT, and advanced sensor technologies an obvious technological extension, rendering potential derivative claims obvious and non-patentable under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,262
TitleIntraocular physiological sensor
Assignee(s)Glaukos Corporation