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...

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Main Authors: Ramona Elena Teiu, Tudor Florin Ursuleanu, Hlescu Cristian Stefan, Roxana Grigorovici, Andreea Roxana Luca, Maria Paula Comanescu, Alina Ionela Calin, Alexandru Grigorovici
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/
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author Ramona Elena Teiu
Tudor Florin Ursuleanu
Hlescu Cristian Stefan
Roxana Grigorovici
Andreea Roxana Luca
Maria Paula Comanescu
Alina Ionela Calin
Alexandru Grigorovici
author_facet Ramona Elena Teiu
Tudor Florin Ursuleanu
Hlescu Cristian Stefan
Roxana Grigorovici
Andreea Roxana Luca
Maria Paula Comanescu
Alina Ionela Calin
Alexandru Grigorovici
author_sort Ramona Elena Teiu
collection DOAJ
description 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.
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spelling doaj-art-f7398bcca1334c30a289af34331efa702025-01-21T17:57:15ZengRomanian Society of Oral RehabilitationRomanian Journal of Oral Rehabilitation2066-70002601-46612024-12-0116446647010.62610/RJOR.2024.4.16.45THE USE OF ARTIFICIAL INTELLIGENCE IN THE THERAPEUTIC MANAGEMENT OF PAPILLARY THYROID MICROCARCINOMA: A RANDOMIZED CONTROLLED TRIAL PROTOCOLRamona Elena Teiu Tudor Florin UrsuleanuHlescu Cristian StefanRoxana GrigoroviciAndreea Roxana LucaMaria Paula ComanescuAlina Ionela CalinAlexandru GrigoroviciAim 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.https://rjor.ro/the-use-of-artificial-intelligence-in-the-therapeutic-management-of-papillary-thyroid-microcarcinoma-a-randomized-controlled-trial-protocol/artificial intelligencepapillary thyroid cancerct images.
spellingShingle Ramona Elena Teiu
Tudor Florin Ursuleanu
Hlescu Cristian Stefan
Roxana Grigorovici
Andreea Roxana Luca
Maria Paula Comanescu
Alina Ionela Calin
Alexandru Grigorovici
THE USE OF ARTIFICIAL INTELLIGENCE IN THE THERAPEUTIC MANAGEMENT OF PAPILLARY THYROID MICROCARCINOMA: A RANDOMIZED CONTROLLED TRIAL PROTOCOL
Romanian Journal of Oral Rehabilitation
artificial intelligence
papillary thyroid cancer
ct images.
title THE USE OF ARTIFICIAL INTELLIGENCE IN THE THERAPEUTIC MANAGEMENT OF PAPILLARY THYROID MICROCARCINOMA: A RANDOMIZED CONTROLLED TRIAL PROTOCOL
title_full THE USE OF ARTIFICIAL INTELLIGENCE IN THE THERAPEUTIC MANAGEMENT OF PAPILLARY THYROID MICROCARCINOMA: A RANDOMIZED CONTROLLED TRIAL PROTOCOL
title_fullStr THE USE OF ARTIFICIAL INTELLIGENCE IN THE THERAPEUTIC MANAGEMENT OF PAPILLARY THYROID MICROCARCINOMA: A RANDOMIZED CONTROLLED TRIAL PROTOCOL
title_full_unstemmed THE USE OF ARTIFICIAL INTELLIGENCE IN THE THERAPEUTIC MANAGEMENT OF PAPILLARY THYROID MICROCARCINOMA: A RANDOMIZED CONTROLLED TRIAL PROTOCOL
title_short THE USE OF ARTIFICIAL INTELLIGENCE IN THE THERAPEUTIC MANAGEMENT OF PAPILLARY THYROID MICROCARCINOMA: A RANDOMIZED CONTROLLED TRIAL PROTOCOL
title_sort use of artificial intelligence in the therapeutic management of papillary thyroid microcarcinoma a randomized controlled trial protocol
topic artificial intelligence
papillary thyroid cancer
ct images.
url https://rjor.ro/the-use-of-artificial-intelligence-in-the-therapeutic-management-of-papillary-thyroid-microcarcinoma-a-randomized-controlled-trial-protocol/
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