THE USE OF ARTIFICIAL INTELLIGENCE IN THE THERAPEUTIC MANAGEMENT OF PAPILLARY THYROID MICROCARCINOMA: A RANDOMIZED CONTROLLED TRIAL PROTOCOL
Aim of the study The correct establishment of the therapeutic conduct in papillary thyroid cancer through the use of artificial intelligence (AI) models is essential in medical practice in diagnosing and establishing the prognosis of the disease, this aspect implies the most accurate and effective...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Romanian Society of Oral Rehabilitation
2024-12-01
|
| Series: | Romanian Journal of Oral Rehabilitation |
| Subjects: | |
| Online Access: | https://rjor.ro/the-use-of-artificial-intelligence-in-the-therapeutic-management-of-papillary-thyroid-microcarcinoma-a-randomized-controlled-trial-protocol/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Aim of the study The correct establishment of the therapeutic conduct in papillary thyroid cancer through the use of artificial intelligence (AI) models is essential in medical practice in diagnosing and establishing the prognosis of the disease, this aspect implies the most accurate and effective therapeutic approach. I aim to use AI models to obtain correct and favorable results for the diagnosis and prognosis of papillary thyroid cancer by conducting a clinical trial, in which we will use the diagnostic method optimized by artificial intelligence (AI) algorithms.The use of AI will avoid errors and increase performance in the interpretation of the doctor’s computed tomography (CT) scan and consequently, improve treatment planning.
Materials and methods The optimization of the method will consist in the development and training of artificial intelligence models, using AI algorithms in the diagnosis of papillary thyroid cancererol by accurately identifying pathological lesions and adenopathy and generating 3D images from 2D CT images. use the transfer function for opacity and color, grayscale from DICOM images projected in a three-dimensional space. [1]; [2] We also use artificial intelligence (AI), through the Generative Adversarial Networks (GAN) technique, which has proven to be effective in representing complex data distributions [2], as we do in this study.
I will validate this method of diagnosis and prognosis of papillary thyroid cancer, optimized by the artificial intelligence algorithm, by conducting a randomized, controlled clinical trial over a period of 12 months.
Results I will validate the diagnostic method by using AI. By using this method in medical practice, I aim to be able to avoid errors, to provide precision in diagnosing, staging and establishing the therapeutic plan in papillary thyroid cancer using AI models.
Conclusions The use of the AI method can increase the quality of life by establishing the correct therapeutic plan and improving the prognosis. |
|---|---|
| ISSN: | 2066-7000 2601-4661 |