Artificial Intelligence for Healthcare : Machine Learning and Diagnostics /
Artificial Intelligence for Healthcare : Machine Learning and Diagnostics /
Rishabha Malviya, Shivam Rajput, Mukesh Roy, Irfan Ahmad, Saurabh Srivastava.
- 1 online resource (XV, 270 p.)
- De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences , 19 2626-5427 ; .
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 http://purl.org/coar/access_right/c_16ec
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.
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.
9783111549729
10.1515/9783111549729 doi
BUSINESS & ECONOMICS / Industries / Computers & Information Technology.
COM004000 COMPUTERS / Intelligence (AI) & Semantics.
COMPUTERS / Computer Science.
MATHEMATICS / Linear & Nonlinear Programming.
MATHEMATICS / Numerical Analysis.
MATHEMATICS / Optimization.
Technology & Engineering / Biomedical.
Artificial Intelligence Healthcare and E-health Patient Care and Diagnostics Machine Learning Deep Learning Artificial Intelligence Healthcare and E-health Patient Care and Diagnostics Machine Learning Deep Learning
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 http://purl.org/coar/access_right/c_16ec
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.
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.
9783111549729
10.1515/9783111549729 doi
BUSINESS & ECONOMICS / Industries / Computers & Information Technology.
COM004000 COMPUTERS / Intelligence (AI) & Semantics.
COMPUTERS / Computer Science.
MATHEMATICS / Linear & Nonlinear Programming.
MATHEMATICS / Numerical Analysis.
MATHEMATICS / Optimization.
Technology & Engineering / Biomedical.
Artificial Intelligence Healthcare and E-health Patient Care and Diagnostics Machine Learning Deep Learning Artificial Intelligence Healthcare and E-health Patient Care and Diagnostics Machine Learning Deep Learning