18550315. IMAGE DIAGNOSTIC SYSTEM AND IMAGE DIAGNOSTIC METHOD simplified abstract (SONY GROUP CORPORATION)

IMAGE DIAGNOSTIC SYSTEM AND IMAGE DIAGNOSTIC METHOD

Organization Name

SONY GROUP CORPORATION

Inventor(s)

KENJI Yamane of TOKYO (JP)

KENJI Suzuki of TOKYO (JP)

TOYA Teramoto of TOKYO (JP)

YUKI Ono of TOKYO (JP)

YOSHIYUKI Kobayashi of TOKYO (JP)

MASATO Ishii of TOKYO (JP)

IMAGE DIAGNOSTIC SYSTEM AND IMAGE DIAGNOSTIC METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 18550315 titled 'IMAGE DIAGNOSTIC SYSTEM AND IMAGE DIAGNOSTIC METHOD

Simplified Explanation

The image diagnostic system described in the patent application utilizes artificial intelligence to diagnose medical images efficiently. Here is a simplified explanation of the abstract:

• Control unit
• Diagnosis unit using machine learning model
• Diagnosis result report output unit
• Selection unit for diagnostic content
• Extraction unit for determination basis information
• Correction unit for determination basis information

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1. 1. 1. Potential Applications of this Technology

- Medical image diagnosis - Healthcare industry - Research and development in AI-assisted diagnostics

1. 1. 1. Problems Solved by this Technology

- Faster and more accurate medical image diagnoses - Reduction of human error in diagnosis - Improved patient outcomes through timely and precise treatment

1. 1. 1. Benefits of this Technology

- Enhanced efficiency in medical imaging analysis - Cost-effective diagnostic solutions - Continuous learning and improvement through relearning of machine learning models

1. 1. 1. Potential Commercial Applications of this Technology
         1. Optimizing Medical Imaging Diagnostics with AI

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1. 1. 1. Possible Prior Art

There may be existing systems or methods that use machine learning models for medical image diagnosis. However, the specific combination of units and functions described in this patent application may be novel and innovative.

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1. 1. 1. Unanswered Questions

1. 1. 1. 1. How does the system handle different types of medical images?

The patent application does not specify how the system can adapt to various medical imaging modalities such as X-rays, MRIs, or CT scans.

1. 1. 1. 1. What is the accuracy rate of the diagnosis results?

The abstract does not mention the accuracy rate of the diagnosis results obtained through the artificial intelligence function.

Original Abstract Submitted

Provided is an image diagnostic system that diagnoses a medical image using an artificial intelligence function. The image diagnostic system includes: a control unit; a diagnosis unit that estimates a diagnosis result using a machine learning model on the basis of an input image; a diagnosis result report output unit that outputs a diagnosis result report on the basis of the diagnosis result; a selection unit that selects a part of a diagnostic content included in the diagnostic result report; and an extraction unit that extracts determination basis information that has affected estimation of the diagnosis content selected, in which the control unit outputs the determination basis information. The image diagnostic system further includes a correction unit that corrects the determination basis information, in which the determination basis information corrected is used for relearning of the machine learning model.