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AI-Enhanced Image Analysis and Interpretation
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Author(s): S. Abhijith (Manipal Academy of Higher Education, India), P. Aswathi (REVA University, Bangalore, India & Srinivas University, Mangalore, India), Tancia Pires (Manipal Academy of Higher Education, India), P. Saikiran (Manipal Academy of Higher Education, India), Priyanka (Manipal Academy of Higher Education, India)and M. Obhuli Chandran (Manipal Academy of Higher Education, India)
Copyright: 2026
Pages: 32
Source title:
Radiodiagnosis in the Era of AI
Source Author(s)/Editor(s): Praveen Kumar (Datta Meghe Institute of Higher Education and Research, Wardha, India), Prateek Verma (Dayananda Sagar University, Bangalore, India), Gaurav Vedprakash Mishra (Datta Meghe Institute of Higher Education and Research, Wardha, India), Gopal Singh Phartiyal (University of Leeds, UK)and Anurag Ashok Luharia (Datta Meghe Institute of Higher Education and Research, Wardha, India)
DOI: 10.4018/979-8-3373-0903-3.ch003
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Abstract
Artificial Intelligence (AI) is transforming medical imaging by improving accuracy, efficiency, and interpretability in diagnostics and treatment. This chapter examines AI's role in image analysis across medical domains using machine learning (ML), deep learning (DL), and radiomics. AI has demonstrated effectiveness in various applications, often matching or surpassing clinicians. It enhances diagnostic and predictive capabilities, streamlines workflows, and aids in early detection, disease characterization, and treatment planning. However, challenges like robustness, bias reduction, and generalizability across datasets hinder adoption. Addressing these issues is key to seamless clinical integration. Emerging trends focus on multimodal data and generalized models to broaden AI's applicability. While promising, these technologies require validation through multicenter studies, larger datasets, and strong algorithmic frameworks. Through collaboration, AI-driven imaging can advance precision medicine, improve patient outcomes, and redefine medical diagnostics.
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