IP Library Patent Application 18426433
Patent Application
App. No. 18/426,433

MEDICAL INFORMATION PROCESSING DEVICE, MEDICAL INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

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Patent No.
US None
App. No.
18/426,433
Abstract

A medical information processing device of an embodiment includes processing circuitry. The processing circuitry acquires a plurality of verification data sets including medical data, result data obtained by inputting the medical data to a trained model, and true/false data regarding the result data. The processing circuit identifies a target verification data set suitable for evaluating a performance required for a trained model that outputs the result data in response to input of the medical data among the plurality of verification data sets on the basis of the relationship between a first trained model that outputs the result data in response to input of the medical data and the verification data sets.

Claims (18)

1 . A medical information processing device comprising processing circuitry,

wherein the processing circuitry is configured to:

acquire a plurality of verification data sets including medical data, result data obtained by inputting the medical data to a trained model, and true/false data regarding the result data; and

identify a target verification data set suitable for evaluating a performance required for a trained model that outputs the result data in response to input of the medical data among the plurality of verification data sets on the basis of a relationship between a first trained model that outputs the result data in response to input of the medical data and the verification data sets.

2 . The medical information processing device according to claim 1 , wherein the processing circuitry evaluates a performance of a second trained model on the basis of a relationship between the first trained model and the target verification data set and a relationship between the second trained model and the verification data set,

wherein the second trained model is a trained model different from the first trained model and is a machine learning model trained to output the result data in response to input of the medical data.

3 . The medical information processing device according to claim 1 , wherein the result data is data regarding a diagnosis result, and the performance required of the trained model includes a low false positive false detection rate of the diagnostic result.

4 . The medical information processing device according to claim 3 , wherein the processing circuitry identifies the target verification data set including the verification data set in which the result data is positive and the true/false data is negative.

5 . The medical information processing device according to claim 1 , wherein the result data is data regarding a diagnosis result, and the performance required of the trained model includes a low false negative false detection rate of the diagnostic result.

6 . The medical information processing device according to claim 5 , wherein the processing circuitry identifies the target verification data set including the verification data set in which the result data is negative and the true/false data is positive.

7 . The medical information processing device according to claim 1 , wherein the true/false data includes data based on a finding report.

8 . The medical information processing device according to claim 1 , wherein the medical data is medical image data.

9 . A medical information processing method using a computer, the medical information processing method comprising:

acquiring a plurality of verification data sets including medical data, result data obtained by inputting the medical data to a trained model, and true/false data regarding the result data; and

identifying a target verification data set suitable for evaluating a performance required for a trained model that outputs the result data in response to input of the medical data among the plurality of verification data sets on the basis of a relationship between a first trained model that outputs the result data in response to input of the medical data and the verification data sets and a relationship between a second trained model that outputs the result data in response to input of the medical data and is different from the first trained model and the verification data sets.

10 . A computer-readable non-transitory storage medium storing a program for causing a computer to execute:

acquiring a plurality of verification data sets including medical data, result data obtained by inputting the medical data to a trained model, and true/false data regarding the result data; and

identifying a target verification data set suitable for evaluating a performance required for a trained model that outputs the result data in response to input of the medical data among the plurality of verification data sets on the basis of a relationship between a first trained model that outputs the result data in response to input of the medical data and the verification data sets and a relationship between a second trained model that outputs the result data in response to input of the medical data and is different from the first trained model and the verification data sets.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 1, 2026
From: CANON MEDICAL SYSTEMS CORPORATION
To: CANON KABUSHIKI KAISHA
Reel/Frame 075315/0598 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 30, 2024
From: IWAMURA, TAISUKE; MORISHIMA, HIROSHIZU; YANAGIDA, KAZUTOSHI; TANEMOTO, TAKAYUKI
To: CANON MEDICAL SYSTEMS CORPORATION
Reel/Frame 066287/0370 →