Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, bìa mềm
Comprehensive resource encompassing recent
developments, current use cases, and future opportunities of AI in
disease detection AI in Disease Detection discusses the integration of
artificial intelligence to revolutionize disease detection approaches,
with case studies of AI in disease detection as well as insight into the
opportunities and challenges of AI in healthcare as a whole. The book
explores a wide range of individual AI components such as computer
vision, natural language processing, and machine learning as well as the
development and implementation of AI systems for efficient practices in
data collection, model training, and clinical validation. This book
assists readers in assessing big data in healthcare and determining the
drawbacks and possibilities associated with the implementation of AI in
disease detection; categorizing major applications of AI in disease
detection such as cardiovascular disease detection, cancer diagnosis,
neurodegenerative disease detection, and infectious disease control, as
well as implementing distinct AI methods and algorithms with medical
data including patient records and medical images, and understanding the
ethical and social consequences of AI in disease detection such as
confidentiality, bias, and accessibility to healthcare. Sample topics
explored in AI in Disease Detection include: Legal implication of AI in
healthcare, with approaches to ensure privacy and security of patients
and their data Identification of new biomarkers for disease detection,
prediction of disease outcomes, and customized treatment plans depending
on patient characteristics AI's role in disease surveillance and
outbreak detection, with case studies of its current usage in real-world
scenarios Clinical validation processes for AI disease detection models
and how they can be validated for accuracy and effectiveness Delivering
excellent coverage of the subject, AI in Disease Detection is an
essential up-to-date reference for students, healthcare professionals,
academics, and practitioners seeking to understand the possible
applications of AI in disease detection and stay on the cutting edge of
the most recent breakthroughs in the field.
Content Type:Books
Year:2025
Edition:1
Language:english
Pages:392
