Intelligent Finger Fracture Recovery System

Publication ID: 24-11857447_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Finger Fracture Recovery System,” Published Technical Disclosure No. 24-11857447_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857447_0010_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. 11,857,447.

Summary of the Inventive Concept

A next-generation finger fracture treatment system that leverages AI, machine learning, and advanced materials to provide personalized, real-time care and optimize healing outcomes.

Background and Problem Solved

Current methods of treating finger fractures are limited by their inability to adapt to individual patient needs and provide continuous monitoring. The original patent's rigid splint design does not allow for real-time adjustments, restricting the use of other parts of the hand and potentially hindering optimal healing. The new inventive concept addresses these limitations by integrating AI, machine learning, and advanced materials to create a personalized, adaptive, and connected finger fracture recovery system.

Detailed Description of the Inventive Concept

The intelligent finger fracture recovery system comprises a wearable device with an integrated AI module that continuously monitors finger movement and adjusts splint tension in real-time to optimize healing. The system utilizes machine learning algorithms to analyze a patient's finger anatomy and generate a customized splint design, which is then fabricated using 3D printing technology. The modular design allows for interchangeable splint modules with varying degrees of flexibility, enabling healthcare professionals to adapt the splint to a patient's specific finger fracture and recovery needs. Integrated sensors track a patient's finger movement, temperature, and pressure, providing real-time feedback to healthcare professionals to optimize treatment and prevent complications. The system is connected to a cloud-based database of patient finger anatomy and recovery data, which is analyzed by a machine learning engine to predict optimal treatment outcomes and provide personalized recommendations to healthcare professionals.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift in finger fracture treatment by integrating AI, machine learning, and advanced materials to create a personalized, adaptive, and connected system. The use of real-time monitoring, customized splint design, and modular flexibility represents a significant departure from the rigid, one-size-fits-all approach of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations in sensor types, AI algorithms, and materials used. For example, the system could incorporate haptic feedback, electrical stimulation, or other forms of therapy to enhance the recovery process. The modular design could be adapted for use in other areas of the body, such as the wrist or ankle.

Potential Commercial Applications and Market

The intelligent finger fracture recovery system has significant commercial potential in the healthcare industry, particularly in orthopedic and sports medicine markets. The system's ability to provide personalized, real-time care and optimize healing outcomes could lead to increased adoption and market share. Additionally, the system's connected nature and cloud-based database could generate revenue through subscription-based services and data analytics.

CPC Classifications

SectionClassGroup
A A61 A61F5/0118

Field of Art

Medical Device Design and Orthopedic Assistive Technologies, specifically focused on hand and finger fracture treatment devices, requiring expertise in biomechanical engineering, materials science, and medical device fabrication

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or orthopedic device designer with advanced degree, 3-5 years professional experience, familiar with medical device prototyping, biomaterials, and adaptive design principles for patient-specific medical interventions

Obviousness Rationale

A PHOSITA would recognize that integrating digital monitoring, adaptive materials, and personalized design into the existing fracture brace concept represents a predictable technological evolution. The source patent's fundamental structure of multi-point finger contact and modular design provides a clear technological foundation for incorporating advanced sensing and AI-driven customization. The PTD's innovations represent logical extensions of existing medical device design principles, utilizing well-established technologies like machine learning, 3D printing, and sensor integration.

Obvious Combinations & Variations

Source Patent Element
Splint configured to contact a finger at three spaced-apart locations
PTD Variation
Adding integrated sensors to track finger movement and pressure at those contact points
Obviousness Reasoning
Sensor integration is a known technique in medical device design, providing predictable diagnostic benefits with minimal technical complexity
Source Patent Element
Adjustable strap for holding finger at desired flexion
PTD Variation
AI-driven dynamic tension adjustment based on real-time movement tracking
Obviousness Reasoning
Adaptive tension control represents a straightforward technological improvement using established control system principles
Source Patent Element
Removable foam pads for patient comfort
PTD Variation
3D-printed customized splint modules with variable flexibility
Obviousness Reasoning
Customization through advanced manufacturing is a predictable design evolution in medical device technology
Source Patent Element
Lateral connection between finger splints
PTD Variation
Cloud-connected platform for aggregating patient recovery data
Obviousness Reasoning
Digital data collection and analysis are standard techniques for improving medical intervention strategies
Source Patent Element
Basic finger fracture stabilization device
PTD Variation
Machine learning-powered treatment recommendation system
Obviousness Reasoning
Applying computational analysis to medical device design represents a natural technological progression with clear potential benefits
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857447 and the published technical disclosure, a person of ordinary skill in the art would find the claimed innovations of an AI-integrated, sensor-enabled, personalized fracture recovery system to be obvious variations of existing medical device design principles. The combination of known techniques in digital monitoring, adaptive materials, and patient-specific intervention strategies renders the proposed innovations prima facie obvious under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,447
TitleBrace for reducing and stabilizing fracture in human hand