TY  - BOOK
TI  - Artificial Intelligence for Healthcare: Machine Learning and Diagnostics 
T2  - De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences ,
SN  - 9783111549729
PY  - 2025///]
CY  - Berlin, Boston
PB  - De Gruyter, 
KW  - BUSINESS & ECONOMICS / Industries / Computers & Information Technology
KW  - bisacsh
KW  - COM004000 COMPUTERS / Intelligence (AI) & Semantics
KW  - COMPUTERS / Computer Science
KW  - MATHEMATICS / Linear & Nonlinear Programming
KW  - MATHEMATICS / Numerical Analysis
KW  - MATHEMATICS / Optimization
KW  - Technology & Engineering / Biomedical
KW  - Artificial Intelligence
KW  - Healthcare and E-health
KW  - Patient Care and Diagnostics
KW  - Machine Learning
KW  - Deep Learning
N1  - 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; restricted access; Issued also in print
N2  - 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
UR  - https://www.degruyterbrill.com/isbn/9783111549729
UR  - https://www.degruyterbrill.com/document/cover/isbn/9783111549729/original
ER  -