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NEC Rehabilitation Planning System Using Machine Learning

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Summary

NEC Corporation has filed USPTO patent application US20260112473A1 for a machine learning-based rehabilitation planning system. The system includes a rehabilitation pattern selection unit, an ability value prediction unit that predicts physical ability values after rehabilitation, a repetition control unit, and a determination unit that identifies optimal rehabilitation patterns. The invention aims to efficiently create personalized rehabilitation plans by iteratively selecting rehabilitation patterns and evaluating predicted ability outcomes against predetermined conditions.

“A rehabilitation planning apparatus, a rehabilitation planning system, a rehabilitation planning method, and a program capable of efficiently creating a rehabilitation plan are provided.”

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GovPing monitors USPTO Patent Applications - Health Informatics (G16H) for new healthcare & life sciences regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 146 changes logged to date.

What changed

NEC Corporation has filed a patent application with the USPTO for a rehabilitation planning system utilizing machine learning. The system predicts physical ability values following rehabilitation activities and iteratively evaluates rehabilitation pattern combinations against predetermined conditions to determine optimal treatment plans for patients. The application covers the rehabilitation planning apparatus, method, and computer-readable medium.

Healthcare providers offering rehabilitation services and medical device manufacturers developing AI-assisted therapy solutions should monitor this patent filing. While patent applications do not immediately affect operations, the technology described could represent a significant advancement in personalized rehabilitation planning that may influence future product development in the healthcare technology space.

Archived snapshot

Apr 23, 2026

GovPing 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.

← USPTO Patent Applications

APPARATUS, METHOD, AND COMPUTER READABLE MEDIUM FOR REHABILITATION PLANNING USING MACHINE LEARNING

Application US20260112473A1 Kind: A1 Apr 23, 2026

Assignee

NEC Corporation

Inventors

Toshinori HOSOI, Yuki KOSAKA, Masahiro KUBO, Yuan LUO

Abstract

A rehabilitation planning apparatus, a rehabilitation planning system, a rehabilitation planning method, and a program capable of efficiently creating a rehabilitation plan are provided. A rehabilitation planning apparatus (1) includes a rehabilitation pattern selection unit (2), an ability value prediction unit (3) that predicts a physical ability value after a target patient performs rehabilitation indicated in a selected rehabilitation pattern, a repetition control unit (4) that performs control so that the selection by the rehabilitation pattern selection unit (2) and the prediction by the ability value prediction unit (3) are repeated, and a determination unit (5) that determines a rehabilitation pattern for, among combinations of rehabilitation patterns and physical ability values obtained through the repetition of the selection and the prediction, a combination of which the physical ability value satisfies a predetermined condition as a rehabilitation plan for the target patient.

CPC Classifications

G16H 20/30 G16H 10/60

Filing Date

2025-12-18

Application No.

19424495

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Last updated

Classification

Agency
USPTO
Published
April 23rd, 2026
Instrument
Notice
Branch
Executive
Legal weight
Non-binding
Stage
Draft
Change scope
Minor

Who this affects

Applies to
Medical device makers Healthcare providers
Industry sector
3345 Medical Device Manufacturing
Activity scope
Patent application Machine learning systems Healthcare technology
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Healthcare Artificial Intelligence

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