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Preethi R. is an Assistant Professor in the Department of Computer Science and Engineering at Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Enathur, Kanchipuram, Tamil Nadu. Her contribution focuses on deep learning for medical image analysis and clinical decision support.
Deep learning has profoundly revolutionised medical image analysis through the facilitation of automated feature extraction, picture classification, segmentation, object detection, illness recognition, and clinical decision assistance. The growing accessibility of medical imaging techniques like X-ray, Magnetic Resonance Imaging (MRI), Computed Tomography (CT), ultrasound, and histopathological images has opened avenues for intelligent systems to aid healthcare practitioners in identifying anomalies and facilitating diagnostic choices. This chapter elucidates the essential principles, frameworks, and utilisations of deep learning in the realm of medical image analysis and clinical decision-making support.A comprehensive framework for AI-enhanced medical picture analysis is introduced, accompanied by performance assessment techniques, implementation obstacles, ethical implications, and prospective research avenues. The section emphasises the capability of deep learning to facilitate precise, effective, transparent, and human-centric healthcare decision-making.