Name: Artificial Intelligence for Healthcare: Machine Learning and Diagnostics (de Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 19) (en Inglés)
SKU: 63736839
Price: 2872.90 MXN
Availability: InStock
Author: Rishabha Malviya; Shivam Rajput; Mukesh Roy; Irfan Ahmad; Saurabh Srivastava
ISBN: 9783111547589

portada Artificial Intelligence for Healthcare: Machine Learning and Diagnostics (de Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 19) (en Inglés)

Artificial Intelligence for Healthcare: Machine Learning and Diagnostics (de Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 19) (en Inglés)

Formato

Libro Físico

Editorial

De Gruyter

Autor

Rishabha Malviya; Shivam Rajput; Mukesh Roy; Irfan Ahmad; Saurabh Srivastava

Idioma

Inglés

N° páginas

285

Encuadernación

Tapa Dura

ISBN13

9783111547589

N° edición

Artificial Intelligence for Healthcare: Machine Learning and Diagnostics (de Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 19) (en Inglés)

Rishabha Malviya; Shivam Rajput; Mukesh Roy; Irfan Ahmad; Saurabh Srivastava (Autor) · De Gruyter · Tapa Dura

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Reseña del libro "Artificial Intelligence for Healthcare: Machine Learning and Diagnostics (de Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 19) (en Inglés)"

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.