AI in Clinical Practice
About the Book Series
...
AI and Precision Medicine in Cancer Management
1st Edition
Edited
By Jen-Tsung Chen
June 16, 2026
This book presents advancements of artificial intelligence (AI)-based technologies and digital omics, highlighting their applications in developing sustainable healthcare and precision medicine for managing diverse cancers. It presents cutting-edge AI tools, machine and deep learning models, and ...
Mastering the Art of Facial Soft Tissue Fillers with Artificial Intelligence: The scientific way to avoid a leap in the dark with hyaluronic acid and AI predictions
1st Edition
By Luigi Cursio, Ciro Cursio, Giulia Cursio
April 27, 2026
This exciting new text looks at what an AI program can do for an aesthetic practice by way of analysing a patient’s face and predicting what the results of injection treatments will be; it also looks at other innovations that could improve aesthetic practice with facial soft tissue filler implants,...
Digital Healthcare and Artificial Intelligence: A Primer for Clinicians and Students
1st Edition
Edited
By Clare Rainey, Sonyia McFadden, Jonathan McConnell
February 01, 2026
Digital technologies are essential to future-proof our health service. With an ageing population and the landscape of the post-pandemic world making increasing demands on an already-stretched human workforce, maximising the potential of a digital future is necessary. This book introduces the ...
AI and Precision Medicine in Infectious Disease Management
1st Edition
Edited
By Jen-Tsung Chen
December 02, 2025
This book presents technical advancements of artificial intelligence (AI)–based technologies and computational biology approaches, highlighting their applications in developing smart healthcare and precision medicine for managing infectious diseases. It discusses cutting-edge AI tools, particularly...
The Impact of Artificial Intelligence in Radiology
1st Edition
Edited
By Adam E. M. Eltorai, H. Henry Guo
December 27, 2024
Implementation of artificial intelligence (AI) in radiology is an important topic of discussion. Advances in AI—which encompass machine learning, artificial neural networks, and deep learning—are increasingly being applied to diagnostic imaging. While some posit radiologists are irreplaceable, ...