Oge Marques
English | 2024 | PDF | 237 Pages
ISBNs: B0CKFGCMKV, 0367627256, 9780367627782, 978-0-367-62778-2, 978-0367627782, 978-0-367-62725-6, 978-0367627256, 9780367627256, 978-1-003-11076-7, 9781003110767, 978-1003110767
Artificial intelligence (AI) has revolutionized many
areas of medicine and is increasingly being embraced. This book focuses
on the integral role of AI in radiology, shedding light on how this
technology can enhance patient care and streamline professional
workflows.
This book reviews, explains, and contextualizes some
of the most current, practical, and relevant developments in artificial
intelligence and deep learning in radiology and medical image analysis.
AI for Radiology presents a balanced viewpoint of the impact of AI in
these fields, underscoring that AI technologies are not intended to
replace radiologists but rather to augment their capabilities, freeing
professionals to focus on more complex cases. This book guides readers
from the basic principles of AI to their practical applications in
radiology, moving from the role of data in AI to the ethical and
regulatory considerations of using AI in radiology and concluding with a
selection of resources for further exploration.
This book has
been crafted with a diverse readership in mind. It is a valuable asset
for medical professionals eager to stay up to date with AI developments,
computer scientists curious about AI’s clinical applications, and
anyone interested in the intersection of healthcare and technology.