Inteligência artificial aplicada à análise de imagens médicas em ensaios clínicos sobre câncer
According to data from the National Cancer Institute, Brazil is projected to experience approximately 704,000 new cases of cancer between 2023 and 2025. These statistics underscore the criticality of studying and developing methods to enhance the diagnosis, prognosis, and treatment of this disease....
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| Formato: | bachelorThesis |
| Idioma: | pt_BR |
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Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/54337 |
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| Resumo: | According to data from the National Cancer Institute, Brazil is projected to experience approximately 704,000 new cases of cancer between 2023 and 2025. These statistics underscore the criticality of studying and developing methods to enhance the diagnosis, prognosis, and treatment of this disease. The advancements in artificial intelligence (AI) in recent years have spurred numerous researchers to employ these techniques in analyzing medical images of cancer, yielding significantly higher accuracy compared to empirical predictions. This undergraduate thesis delves into the existing literature on clinical trials that leverage AI for the analysis of cancer medical images, with a specific focus on AI's role in enhancing accuracy. Additionally, we conduct a bibliometric study of 17 clinical trials published in PubMed. This comprehensive approach enables us to provide an overview of this research field, including its primary themes, applied AI methodologies, noteworthy sources, institutions involved, and pivotal articles. Consequently, this article offers a fresh perspective by showcasing the practical application of AI in cancer image analysis and illustrating how its impressive performance can enhance the quality of cancer diagnosis, thereby improving the overall quality of life for patients. |
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