International Journal of Automation and Safety
Volume 3, Numéro 1, Pages 1-4
2025-07-15
Technological Advancements In Biomedical Diagnostic Assistance And Their Influence On Artificial Intelligence
Authors : Bouzid-daho Abdellatif . Siarry Patrick .
Abstract
Recent advancements in biomedical diagnostic technologies have significantly improved the accuracy, efficiency, and accessibility of healthcare. The integration of artificial intelligence (AI) into diagnostic systems has further enhanced automated detection, segmentation, and classification of medical images, revolutionizing disease diagnosis and treatment planning. This paper explores the latest technological developments in biomedical diagnostics, their influence on AI methodologies, and their impact on clinical applications. We present a comparative analysis of conventional diagnostic techniques and AI-driven approaches, highlighting their advantages and limitations. Experimental results demonstrate the robustness of AI-enhanced diagnostic systems in improving accuracy and reducing diagnostic errors.
Keywords
Biomedical diagnostics ; Artificial Intelligence ; Medical imaging ; Deep learning ; Computer-aided diagnosis ; Segmentation ; Machine learning
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