Artificial Intelligence for Healthcare : Machine Learning and Diagnostics / Rishabha Malviya, Shivam Rajput, Mukesh Roy, Irfan Ahmad, Saurabh Srivastava.

Material type:

TextLanguage: Series: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences ; 19Publisher: Berlin Boston De Gruyter, [2025]Copyright date: ©2025Description: 1 online resource (XV, 270 p.)Content type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783111549729

Subject(s):

Additional physical formats: No title; No titleOnline resources:

Available additional physical forms:

Issued also in print.

Contents:

Frontmatter -- Preface -- Foreword -- Contents -- Chapter 1 Cardiovascular disease diagnosis using AI-based imaging -- Chapter 2 Integration of AI in the management of bone health -- Chapter 3 AI for remote patient monitoring in healthcare -- Chapter 4 Engaging AI in emergency medicine for better patient care -- Chapter 5 Application of AI in ENT (otorhinolaryngology) care -- Chapter 6 Integration of AI in brain tumor surgery -- Chapter 7 AI in dentistry: role and application -- Chapter 8 Managing OPD with AI: implementation and utilization -- Chapter 9 Elder patient care and monitoring through AI -- Chapter 10 AI and pregnancy: an unexpected alliance -- Chapter 11 Implementation of AI in pathology -- Index

Title is part of eBook package: DG Plus DeG Package 2025 Part 1 De GruyterSummary: 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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	Electronic Books	CUTN Central Library							Link to resource		Available			EB04687

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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.

Issued also in print.

The accessibility of this resources in unknown or unassessed.

Mode of access: Internet via World Wide Web.

Malviya, Rajput, GU, IN; Roy, Baptist Hospital South Florida, USA; Ahmad, King Khalid U, SA; Srivastava, KPJ Healthcare U, MY.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed March 03 2026)

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