This inventor holds 1 USPTO granted patent. Top assignee: Sword Health S.a.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Robert Moulder: Advancing Digital Physical Therapy with Predictive AI
Introduction
Robert Moulder is an inventor based in Draper, Utah, whose patent work concerns artificial intelligence and digital physical therapy. He is associated with Sword Health S.A. His disclosed invention applies machine learning to information about a user’s baseline condition and participation in therapy sessions to predict treatment outcomes.
Latest Patents
Moulder is identified with 1 patent: “Artificial intelligence-driven predictive tool for digital platforms.” The patent describes accessing baseline data about a user and collecting data across sessions in a digital physical therapy program. A device tracks the user’s motion during each session, and a machine-learning classifier processes the resulting input to predict an outcome. If the system predicts that the user will not meet a predetermined improvement threshold, it generates an alert for a second device associated with the person administering the program.
Career Highlights
Moulder’s patent reflects an approach to digital care that combines motion tracking, session data, and predictive analysis. By flagging a predicted shortfall in improvement, the tool is designed to help a care provider identify when a user may need attention during a therapy program.
Collaborations
Moulder is associated with Sword Health S.A. His listed coworkers include Anabela Cepa Areias and Fabíola Costa.
Conclusion
Robert Moulder’s disclosed invention brings predictive machine learning to digital physical therapy, with the aim of helping providers recognize when a user may not reach an expected improvement threshold.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile