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US 12,629,001 B2Granted
Method, apparatus and system for providing medical diagnosis assistance information based on artificial intelligence
AssigneeVPIX Medical Incorporation
InventorsKyuyoung Kim, Kyungmin Hwang
Life of this patent
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Abstract
Proposed is a method, apparatus, and system for providing medical diagnosis assistance information showing whether a tissue related to a tissue image is normal or abnormal (e.g., cancer) using the AI technology. Proposed are a method, an apparatus, and a system for training an AI model for producing medical diagnosis assistance information in consideration of conditions for obtaining a tissue image in an endomicroscope system for digital biopsy.
Claims16
A confocal fluorescence endomicroscope system comprising:
- a laser scanner;
- a light receiver;
- and
- a processor,
- wherein the system is configured to determine whether to output medical diagnosis assistance information of an artificial intelligence model and to provide the information accordingly based on a condition for providing the medical diagnosis assistance information,
- the processor configured to:
- generate a first driving signal corresponding to a first axis and a second driving signal corresponding to a second axis different from the first axis;
- generate a first image to detect excitation light generated by light emitted to a tissue to be examined from an end of the laser scanner operating based on the first driving signal and the second driving signal;
- obtain the medical diagnosis assistance information including information on whether the tissue related to the first image is normal from the artificial intelligence model by inputting the first image into the artificial intelligence model;
- identify an activated region related to the medical diagnosis assistance information on the first image;
- determine that the condition for providing the medical diagnosis assistance information is satisfied in response to a size of the activated region at a specific color threshold being a threshold or more in an entire region and the number of closed loops of the activated region at the specific color threshold being less than or equal to a predetermined number;
- provide the medical diagnosis assistance information on the first image when the condition is satisfied, and
- do not provide the medical diagnosis assistance information on the first image in response to the condition being not satisfied,
- wherein the predetermined number is a threshold indicating whether the medical diagnosis assistance information is suitable for pathological diagnosis generated by the artificial intelligence model,
- wherein the specific color threshold is a pre-designated value, or a value selected by a user, and
- wherein the artificial intelligence model is configured to:
- receive, as a unified input set, both one or more tissue images and associated acquisition conditions for the one or more tissue images, wherein the associated acquisition conditions include a wavelength value of light and organ information, and wherein the one or more tissue images comprise the first image;
- and
- generate, as an output, the medical diagnosis assistance information by performing a diagnostic analysis on the input set.
16 more elements
A method of providing medical diagnosis assistance information using a confocal fluorescence endomicroscope system,
- wherein the confocal fluorescence endomicroscope system is configured to determine whether to output the medical diagnosis assistance information of an artificial intelligence model and to provide the information accordingly based on a condition for providing the medical diagnosis assistance information,
- the method comprising:
- generating a first driving signal corresponding to a first axis and a second driving signal corresponding to a second axis different from the first axis;
- generating a first image to detect excitation light generated by light emitted to a tissue to be examined from an end of a laser scanner operating based on the first driving signal and the second driving signal;
- inputting the first image into the artificial intelligence model;
- obtaining the medical diagnosis assistance information including information on whether the tissue related to the first image is normal from the artificial intelligence model;
- identifying an activated region related to the medical diagnosis assistance information on the first image;
- determining that the condition for providing the medical diagnosis assistance information is satisfied in response to a size of the activated region at a specific color threshold being a threshold or more in an entire region and the number of closed loops of the activated region at the specific color threshold being less than or equal to a predetermined number;
- providing the medical diagnosis assistance information on the first image when the condition is satisfied;
- and
- not providing the medical diagnosis assistance information on the first image in response to the condition being not satisfied,
- wherein the predetermined number is a threshold indicating whether the medical diagnosis assistance information is suitable for pathological diagnosis generated by the artificial intelligence model,
- wherein the specific color threshold is a pre-designated value or a value selected by a user, and
- wherein the artificial intelligence model is configured to:
- receive, as a unified input set, both one or more tissue images and associated acquisition conditions for the one or more tissue images, wherein the associated acquisition conditions include a wavelength value of light and organ information, and wherein the one or more tissue images comprise the first image;
- and
- generate, as an output, the medical diagnosis assistance information by performing a diagnostic analysis on the input set.
14 more elements
Dependencies are inferred from the claim text.