View All Documents & Correspondence
Early Detection Of Rheumatoid Arthritis Using Artificial Intelligence
Abstract: Rheumatoid arthritis may be described as a chronic inflammatory disorder which affects the joints by damaging the body"s tissue. Therefore, the identification and detection of rheumatoid arthritis by hand, especially during its development or pre-diagnostic phases, requires an effective system analysis. In this work, we developed a system based on Artificial Intelligence (Man-made intelligence), utilizing Convolutional Neural Networks (CNN) and Reinforcement Learning Technique for the programmed detection of RA from hand and wrist MRI. The model efficiency is measured with 564 cases (real data) achieving an exactness of 100%. This model would be useful for faster automatic detection of Rheumatoid Arthritis.
Notices, Deadlines & Correspondence
Patent Information
Applicants
1. MS. K.C. KRISHNACHALITHA
2. DR.C.PRIYA
Inventors
1. MS. K.C. KRISHNACHALITHA
2. DR.C.PRIYA
Specification
WE CLAIM
1. A system as claimed in claim 1, wherein the system is Convolutional Reinforcement Learning Techniques to detect Rheumatoid Arthritis from hand and wrist MRI.
2. A system as claimed in claim 2, wherein the system detects Rheumatoid Arthritis (RA) at an early stage from the MRJ of hand and wrist as RA progression starts mostly in the hand (MCP (metacarpophalangeal) joint and PIP (proximal interphalangeal) joint) and wrist.
3. A system as claimed in claim 3, wherein the system develops a model that detects RA from the synovitis of hand and wrist joints, as synovitis is the earliest sign in the progression of the disease.
4. A system as claimed in claim 4, wherein the system enables a pre trained serializing model which is the best model for industry deployment with high performance.
5. A system as claimed in claim 5, wherein the model reduce the human dependency and takes most decisions automatically.
6. A system as claimed in claim 6, wherein the system assists the healthcare to simulate blood test to detect RA in an early stage.
7. A system as claimed in claim 7, wherein the system reduces the complex undertaking of correct disease diagnosis based on the detection of very subtle changes for the natural eye.
Documents
Application Documents
| # | Name | Date |
|---|---|---|
| 1 | 202141028541-Abstract_As Filed_25-06-2021.pdf | 2021-06-25 |
| 1 | 202141028541-Form9_Early Publication_25-06-2021.pdf | 2021-06-25 |
| 2 | 202141028541-Claims_As Filed_25-06-2021.pdf | 2021-06-25 |
| 2 | 202141028541-Form5_As Filed_25-06-2021.pdf | 2021-06-25 |
| 3 | 202141028541-Correspondence_As Filed_25-06-2021.pdf | 2021-06-25 |
| 3 | 202141028541-Form3_As Filed_25-06-2021.pdf | 2021-06-25 |
| 4 | 202141028541-Description Complete_As Filed_25-06-2021.pdf | 2021-06-25 |
| 4 | 202141028541-Form2 Title Page_Complete_25-06-2021.pdf | 2021-06-25 |
| 5 | 202141028541-Form1_As Filed_25-06-2021.pdf | 2021-06-25 |
| 6 | 202141028541-Description Complete_As Filed_25-06-2021.pdf | 2021-06-25 |
| 6 | 202141028541-Form2 Title Page_Complete_25-06-2021.pdf | 2021-06-25 |
| 7 | 202141028541-Correspondence_As Filed_25-06-2021.pdf | 2021-06-25 |
| 7 | 202141028541-Form3_As Filed_25-06-2021.pdf | 2021-06-25 |
| 8 | 202141028541-Claims_As Filed_25-06-2021.pdf | 2021-06-25 |
| 8 | 202141028541-Form5_As Filed_25-06-2021.pdf | 2021-06-25 |
| 9 | 202141028541-Abstract_As Filed_25-06-2021.pdf | 2021-06-25 |
| 9 | 202141028541-Form9_Early Publication_25-06-2021.pdf | 2021-06-25 |