Abstract :
Abstract Abstract: AI-driven innovations are reshaping the landscape of cancer diagnostics, offering unprecedented opportunities for early detection, precise characterization, and personalized treatment strategies. This paper explores the transformative potential of AI-driven technologies from a medical engineering perspective, highlighting key advancements, challenges, and future directions in cancer diagnostics. In recent years, AI-driven innovations have emerged as powerful tools in the fight against cancer, revolutionizing the way we diagnose and treat this complex disease. By leveraging machine learning algorithms and big data analytics, AI technologies have demonstrated remarkable capabilities in interpreting medical imaging, analyzing genomic data, and predicting treatment outcomes with unprecedented accuracy and efficiency. These advancements have paved the way for earlier detection of cancerous lesions, more precise characterization of tumor subtypes, and tailored treatment regimens tailored to individual patient profiles.
Keyword :
Keywords: AI-driven innovations, Cancer diagnostics, Medical engineering, Early detection, Personalized treatment