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Applied AI and Computational Intelligence in Diagnostics and Decision-Making

By Danish Ather

Applied AI and Computational Intelligence in Diagnostics and Decision-Making

By Danish Ather

0 - Default Title
Description
The integration of reinforcement learning techniques like Deep Q-Networks (DQNs)with computational intelligence is revolutionizing healthcare by enabling more accurate, timely, and personalized medical decision-making. These AI strategies enhance diagnostics, treatment planning, and patient monitoring by leveraging real-time data from sources such as IoT devices and medical imaging. This shift not only improves patient outcomes but also supports more efficient use of healthcare resources. As AI becomes more embedded in clinical practice, it plays a critical role in transforming healthcare into a more data-driven, adaptive, and patient-centered system. Applied AI and Computational Intelligence in Diagnostics and Decision-Making explores the fusion of reinforcement learning, particularly DQNs, with computational intelligence to enhance decision-making in healthcare. It delves into AI-driven diagnostics, personalized treatment plans, and real-time monitoring, leveraging deep learning and IoT integration. Covering topics such as artificial intelligence, neural networks, and remote patient monitoring, this book is an excellent resource for AI researchers, data scientists, machine learning engineers, computational intelligence specialists, medical professionals, radiologists, clinicians, and more.
Product details
Binding:
Paperback
Number of Pages:
516
Release Date:
2025-08-08
Publication Date:
2025-09-18
Publisher:
IGI Global
Languages:
Original: English
ISBN13:
9798337333120
Weight:
960 g
Height:
178 cm
Width:
254 cm
Thickness:
28 cm
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