Journal international des progrès technologiques
Libre accès

Abstrait

Artificial Intelligence Progress in Cancer Diagnosis

Kevin Brown

Artificial intelligence has resulted in significant improvements in radiology and medical imaging techniques, as well as significant modifications in screening patterns. Advancements in these techniques, in particular, led to the creation of the Computer- Aided Detection (CAD) strategy. Artificial intelligence has resulted in significant improvements in radiology and medical imaging techniques, as well as significant modifications in screening patterns. Advancements in these techniques, in particular, led to the creation of the Computer-Aided Detection (CAD) strategy. These methods supplied radiologists with highly accurate diagnosis findings that acted as a "second opinion." The diagnostic and classification skills of CAD systems are now matching the standards of radiologists and doctors, thanks to major improvements in artificial intelligence strategies. As a result, the CAD system is transformed from a second opinion tool to a high-utility tool. This article examines artificial intelligence-based methodologies and algorithms for cancer detection and classification, which transcend the limitations of the old method. In addition, the paper discusses the likely direction of AI in medical issues.