Artificial Intelligence for Healthcare

Machine Learning and Diagnostics
Artikelnummer: 978-3-11-154758-9
Einband: Fester Einband
Verfügbarkeit: Lieferbar in ca. 10-20 Arbeitstagen
CHF 193.00
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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.


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.


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VerlagDe Gruyter
EinbandFester Einband
Erscheinungsjahr2025
Seitenangabe270 S.
AusgabekennzeichenEnglisch
Abbildungen1 b/w and 30 col. ill., 1 b/w tbl., schwarz-weiss Illustrationen, Tabellen, schwarz-weiss, farbige Illustrationen
MasseH24.0 cm x B17.0 cm 604 g
CoverlagDe Gruyter (Imprint/Brand)
Auflage1. A.
ReiheDe Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences
AutorMalviya, Rishabha / Rajput, Shivam / Roy, Mukesh / Ahmad, Irfan / Srivastava, Saurabh

Alle Bände der Reihe "De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences"

Über den Autor Rishabha Malviya

261910738

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