説明
This volume explores the revolutionary impact of artificial intelligence and machine learning in the healthcare sector, focusing particularly on image and data analytics. The authors delve into the various applications of AI and ML technologies, demonstrating how they enhance decision-making processes and improve patient outcomes. The integration of these advanced techniques is showcased through practical examples and case studies that highlight their effectiveness in diagnosing conditions and interpreting complex medical data.
Providing insights from multiple perspectives, the contributors discuss both the theoretical foundations and practical implications of AI in healthcare. They examine the challenges and ethical considerations surrounding these technologies, fostering a deeper understanding of their potential and limitations. As healthcare continues to evolve through innovation, this comprehensive resource serves as a vital guide for professionals seeking to navigate the intersection of technology and medicine.
Providing insights from multiple perspectives, the contributors discuss both the theoretical foundations and practical implications of AI in healthcare. They examine the challenges and ethical considerations surrounding these technologies, fostering a deeper understanding of their potential and limitations. As healthcare continues to evolve through innovation, this comprehensive resource serves as a vital guide for professionals seeking to navigate the intersection of technology and medicine.
本の詳細
形式
ペーパーバック
ページ数
248ページ
言語
英語
公開されました
Sep 28, 2023
出版社
Springer
ISBN-10
3031111567
ISBN-13
9783031111563