Oporto, Portugal

Fernando Correia

This inventor holds 1 USPTO granted patent. Top assignee: Sword Health S.a.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fernando Correia. Retrieved from https://idiyas.com/inventor/fernando-correia

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Fernando Correia: Inventor in Digital Physical Therapy

Introduction

Fernando Correia is an inventor associated with Oporto, Portugal, and Sword Health S.A. His work includes an artificial intelligence-driven predictive tool designed for digital physical therapy. The available information identifies 1 patent associated with him.

Latest Patents

Correia’s patent, “Artificial intelligence-driven predictive tool for digital platforms,” describes a system that uses machine learning to predict outcomes in a digital physical therapy program. The system accesses baseline information about a user and collects data from multiple therapy sessions, while a device tracks the user’s motion. A machine learning classifier processes these inputs to predict the program’s outcome. If the system predicts that the user will not meet a specified improvement threshold, it generates an alert for a second user administering the program.

Career Highlights

Correia is associated with Sword Health S.A., a company focused on digital physical therapy. His patent describes how artificial intelligence and motion-tracking data can help identify when a participant may need attention during a therapy program.

Collaborations

The provided information lists Anabela Cepa Areias and Robert Moulder as Correia’s coworkers. The patent’s described workflow also involves a first user participating in therapy and a second user administering the program.

Conclusion

Fernando Correia’s identified patent applies machine learning and motion data to predict physical therapy outcomes and alert program administrators when a user may not reach a target improvement threshold.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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