Fujifilm corporation (20240112345). MEDICAL IMAGE DIAGNOSIS SYSTEM, MEDICAL IMAGE DIAGNOSIS METHOD, AND PROGRAM simplified abstract
Contents
- 1 MEDICAL IMAGE DIAGNOSIS SYSTEM, MEDICAL IMAGE DIAGNOSIS METHOD, AND PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MEDICAL IMAGE DIAGNOSIS SYSTEM, MEDICAL IMAGE DIAGNOSIS METHOD, AND PROGRAM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
MEDICAL IMAGE DIAGNOSIS SYSTEM, MEDICAL IMAGE DIAGNOSIS METHOD, AND PROGRAM
Organization Name
Inventor(s)
MEDICAL IMAGE DIAGNOSIS SYSTEM, MEDICAL IMAGE DIAGNOSIS METHOD, AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240112345 titled 'MEDICAL IMAGE DIAGNOSIS SYSTEM, MEDICAL IMAGE DIAGNOSIS METHOD, AND PROGRAM
Simplified Explanation
The patent application describes a medical image diagnosis system that helps reduce the burden on doctors when diagnosing a large number of medical images, such as during health checkups. The system includes a processor and memory that stores commands for the processor to execute. The processor first determines if a medical image is normal, and then determines the presence or absence of abnormalities if the image is not normal.
- Medical image diagnosis system to assist doctors in diagnosing a large number of medical images efficiently.
- Processor and memory used to determine if a medical image is normal and to identify abnormalities if present.
Potential Applications
The technology can be applied in various medical fields where large numbers of medical images need to be analyzed quickly and accurately, such as in radiology departments, health screening programs, and telemedicine services.
Problems Solved
1. Reducing the burden on doctors when diagnosing a large volume of medical images. 2. Improving the efficiency and accuracy of medical image analysis.
Benefits
1. Faster and more accurate diagnosis of medical images. 2. Increased productivity for healthcare providers. 3. Enhanced patient care through timely identification of abnormalities.
Potential Commercial Applications
"Efficient Medical Image Diagnosis System for Healthcare Providers" can be used by hospitals, clinics, diagnostic centers, and telemedicine companies to streamline their image analysis processes and improve patient outcomes.
Possible Prior Art
One possible prior art could be the use of computer-aided diagnosis (CAD) systems in medical imaging to assist radiologists in interpreting images and detecting abnormalities. These systems have been developed to improve diagnostic accuracy and efficiency in medical imaging.
Unanswered Questions
How does the system handle different types of medical images, such as X-rays, MRIs, or CT scans?
The patent application does not specify how the system can adapt to various imaging modalities and whether it can provide accurate diagnoses across different types of medical images.
What measures are in place to ensure patient data privacy and security when using the system?
The patent application does not address the potential concerns regarding patient data protection and confidentiality while using the medical image diagnosis system.
Original Abstract Submitted
provided are a medical image diagnosis system, a medical image diagnosis method, and a program which reduce a burden on a doctor in a case of performing image diagnosis on a large number of medical images, such as a health checkup. the problem is solved by a medical image diagnosis system including at least one processor, and at least one memory that stores a command to be executed by the at least one processor, in which the at least one processor performs first determination of determining whether or not a medical image obtained by imaging a subject is normal, and performs second determination of determining presence or absence of an abnormality from the medical image in a case in which it is determined that the medical image is not normal in the first determination.
