Artificial Intelligence for Healthcare

Machine Learning and Diagnostics
1. Auflage 2025
ISBN: 978-3-11-154758-9
Verlag: De Gruyter

Buch, Englisch, Band 19, 270 Seiten, Format (B × H): 170 mm x 240 mm

Reihe: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences

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.

Zielgruppe

Healthcare professionals, scholars, and students interested in in

Autoren/Hrsg.

Malviya, Rishabha

Rajput, Shivam

Roy, Mukesh

Ahmad, Irfan

Srivastava, Saurabh

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Medien-, Informations und Kommunikationswirtschaft Informationstechnik, IT-Industrie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik

Über Autor(innen)

Dr. Rishabha Malviya, Associate Professor in Pharmacy at Galgotias University, specializes in formulation optimization, nanoformulations, and targeted drug delivery. With over 14 years of research experience, he has authored more than 200 Scopus publications, 58 books, and holds 58 patents. He has recognized among the world's top 2% scientists by Stanford University-Elsevier for the year 2020 2021, 2022, and 2023. He serves on editorial board member/reviewer 0f more than 50 prestigious journals. Mr. Shivam Rajput, with a B. Pharmacy from Pt. B. D. Sharma University and M. Pharmacy from Galgotias University, is an accomplished author of multiple books and chapters with Scrivener/Wiley and Apple Academic Press/Taylor & Francis. He has published over 10 SCI/Scopus-indexed papers with publishers like Elsevier and Wiley and has participated in 10+ international conferences. Dr. Mukesh Roy holds a Ph.D. in Mechanical Engineering from South Dakota State University. With over eight years of research experience, he has published 24+ scientific articles, 40+ abstracts, and holds six patents. Dr. Irfan Ahmad completed his Ph.D. in Medical Microbiology from King George’s Medical University, India. An Associate Professor at King Khalid University, Saudi Arabia, he has published over 150 articles, contributed to numerous books, and serves on editorial boards of Scopus-listed journals. Dr. Saurabh Srivastava earned his Ph.D. in Pharmacy from King George’s Medical University, India, specializing in nano formulations and cancer nanomedicine. Currently a Lecturer and Department Head at KPJ Healthcare University, Malaysia, he has 12+ years of research experience, 40+ publications, and numerous book chapters.