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IBM Patent US12586683B2 for Selective Label Decision-Making

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Published March 24th, 2026
Detected March 24th, 2026
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Summary

The USPTO has granted IBM patent US12586683B2 for a computer-implemented method of decision-making using selective labels in health informatics. The patent describes a system for rendering decisions based on conditional success probabilities and confidence values.

What changed

The United States Patent and Trademark Office (USPTO) has granted International Business Machines Corporation (IBM) patent US12586683B2, titled "Decision-making under selective labels." This patent, filed on July 20, 2021, and granted on March 24, 2026, covers a computer-implemented method for decision-making using selective labels, particularly relevant to health informatics. The method involves receiving conditional success probability values and confidence values associated with a feature of an entity, selecting a parameter that balances short-term learning with long-term utility, and rendering a decision based on a machine learning policy.

This patent grant is primarily of informational value, as it represents intellectual property rather than a regulatory mandate. However, it highlights advancements in AI and machine learning within the healthcare sector. Compliance officers in health informatics or technology development should be aware of such patented technologies, as they may influence future product development, competitive landscapes, and potential licensing considerations. No immediate compliance actions are required, but awareness of IBM's patented methods in selective label decision-making is recommended for strategic planning.

Source document (simplified)

← USPTO Patent Grants

Decision-making under selective labels

Grant US12586683B2 Kind: B2 Mar 24, 2026

Assignee

International Business Machines Corporation

Inventors

Dennis Wei

Abstract

A computer-implemented method of decision-making using selective labels, includes receiving a conditional success probability value of a feature associated with an entity. A confidence value of the received success probability value is received. A parameter value that is a trade-off between a short-term learning and a long-term utility is selected. A decision is rendered to accept or reject the feature associated with the entity according to a machine learning policy.

CPC Classifications

G16H 50/20 G16H 20/13 G16H 40/67 G16H 50/70 G06N 5/045 G06N 20/00

Filing Date

2021-07-20

Application No.

17381141

Claims

17

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Named provisions

Decision-making under selective labels

Source

Analysis generated by AI. Source diff and links are from the original.

Classification

Agency
USPTO
Published
March 24th, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US12586683B2

Who this affects

Applies to
Healthcare providers
Industry sector
3345 Medical Device Manufacturing 5112 Software & Technology
Activity scope
Health Informatics
Geographic scope
United States US

Taxonomy

Primary area
Healthcare
Operational domain
IT Security
Topics
Artificial Intelligence Data Science

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