Future of AI in Medical Imaging

This book PDF is perfect for those who love Computers genre, written by Sharma, Avinash Kumar and published by IGI Global which was released on 11 March 2024 with total hardcover pages 327. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Future of AI in Medical Imaging books below.

Future of AI in Medical Imaging
Author : Sharma, Avinash Kumar
File Size : 46,8 Mb
Publisher : IGI Global
Language : English
Release Date : 11 March 2024
ISBN : 9798369323601
Pages : 327 pages
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Future of AI in Medical Imaging by Sharma, Avinash Kumar Book PDF Summary

Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.

Future of AI in Medical Imaging

Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity

Get Book
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