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Artificial Intelligence in Medical Imaging
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Author(s): Aditi Arora (ABES Engineering College, India), Divya Upadhyay (ABES Engineering College, India)and Indu Malik (ABES Engineering College, India)
Copyright: 2025
Pages: 18
Source title:
Computer-Assisted Analysis for Digital Medicinal Imagery
Source Author(s)/Editor(s): Amit Sinha (ABES Engineering College, Ghaziabad, India), Pranshu Saxena (School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India), Sanjay Kumar Singh (University School of Automation and Robotics,Guru Gobind Singh Indraprastha University, East Delhi, India)and Harikesh Singh (JSS Academy of Technical Education, Noida, India)
DOI: 10.4018/979-8-3693-5226-7.ch012
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Abstract
Integrating Artificial Intelligence (AI) in medical imagery is being considered as a game changer in radiology as compared to any other medical fields. Radiologists are at the forefront of innovations and technological advancements in medical image analysis. They are still not able to adapt the fast-changing technological advancement brought by AI in their profession. They are still reluctant to leave their traditional clinical practices and to progress towards AI techniques such as Neural Networks (NN) and Deep Learning (DL). In this chapter, we will be discussing about the current role of AI in medical imaging i.e. Radiology. Is it a threat or an opportunity for radiologists? Will AI completely replace radiologists entirely? Furthermore, the future challenges and risks that needs to be addressed by healthcare community before the deployment of AI for use by radiologists for their clinical practices. This chapter will help the readers to understand how the medical community especially radiologists are adapting AI based solutions to get a deeper understanding of medical images.
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