Wow! eBook
Artificial Intelligence for Healthcare:Machine Learning and Diagnostics (De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 19)
by: Rishabha Malviya (Author), Shivam Rajput (Author), Mukesh Roy (Author), Irfan Ahmad (Author), Saurabh Srivastava (Author)
Publisher: De Gruyter
Edition: 1st
Publication Date: 2025-04-21
Language: English
Print Length: 285 pages
ISBN-10: 3111547582
ISBN-13: 9783111547589
Book Description
The book Artificial Intelligence for Healthcare:Machine Learning and Diagnostics explores how AI and machine learning are reshaping healthcare, focusing on diagnosis, patient care, and treatment across various specialties. It covers AI applications in fields such as cardiovascular care, orthopedics, emergency medicine, ENT, and remote patient monitoring. Additionally, the book discusses AI’s transformative role in brain tumor surgery, dentistry, and elder care, showcasing its power to personalize therapies, predict outcomes, and enhance outpatient efficiency. Key chapters examine AI in pathology, specifically in image analysis and digital pathology, and its expanding influence in maternal and fetal health. This essential guide provides healthcare practitioners, researchers, clinical experts, and students with insights into AI's practical uses and future potential, serving as a valuable reference for AI-driven diagnostic advancements and healthcare solutions.
Editorial Reviews
The book Artificial Intelligence for Healthcare:Machine Learning and Diagnostics explores how AI and machine learning are reshaping healthcare, focusing on diagnosis, patient care, and treatment across various specialties. It covers AI applications in fields such as cardiovascular care, orthopedics, emergency medicine, ENT, and remote patient monitoring. Additionally, the book discusses AI’s transformative role in brain tumor surgery, dentistry, and elder care, showcasing its power to personalize therapies, predict outcomes, and enhance outpatient efficiency. Key chapters examine AI in pathology, specifically in image analysis and digital pathology, and its expanding influence in maternal and fetal health. This essential guide provides healthcare practitioners, researchers, clinical experts, and students with insights into AI's practical uses and future potential, serving as a valuable reference for AI-driven diagnostic advancements and healthcare solutions.
