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Utilization of Artificial Intelligence Algorithms for Advanced Cancer Detection in the Healthcare Domain
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Author(s): M. G. Hariharan (Dhaanish Ahmed College of Engineering, India), S. Saranya (Dhaanish Ahmed College of Engineering, India), P. Velavan (Dhaanish Ahmed College of Engineering, India), Edwin Shalom Soji (Bharath Institute of Higher Education and Research, India), S. Suman Rajest (Dhaanish Ahmed College of Engineering, India)and Latha Thammareddi (DXC Technology, USA)
Copyright: 2024
Pages: 16
Source title:
Advancements in Clinical Medicine
Source Author(s)/Editor(s): P. Paramasivan (Dhaanish Ahmed College of Engineering, India), S. Suman Rajest (Dhaanish Ahmed College of Engineering, India), Karthikeyan Chinnusamy (Veritas, USA), R. Regin (SRM Instıtute of Science and Technology, India)and Ferdin Joe John Joseph (Thai-Nichi Institute of Technology, Thailand)
DOI: 10.4018/979-8-3693-5946-4.ch021
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Abstract
AI has become a valuable tool for early disease identification and diagnosis, especially during pandemics. Artificial intelligence is used to construct advanced healthcare systems that can help diagnose medical diseases, including cancer. This research aims to establish an AI-powered healthcare system for early cancer diagnosis. Millions of people worldwide suffer from cancer, a serious healthcare opponent. Potentially saving many lives. First and foremost, the AI-powered healthcare system must detect cancer-prone patients. This phase relies heavily on AI algorithms, especially deep learning algorithms. These algorithms scan massive datasets of medical records, genetic data, and lifestyle factors to detect cancer-prone individuals. Deep learning algorithms are essential here since they excel at pattern identification and picture analysis.
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