Название: Modern Technologies in HealthcareАвтор: Temitope Emmanuel Komolafe, Patrice Monkam, Blessing Funmi Komolafe, Nizhuan Wang
Издательство: CRC Press
Серия: Analytics and AI for Healthcare
Год: 2025
Страниц: 348
Язык: английский
Формат: pdf (true), epub
Размер: 16.8 MB
This book comprehensively explores the latest technological advancements in healthcare, with a particular focus on the application of cutting-edge technologies, such as Artificial Intelligence (AI), Computer Vision, and robotics. The focus extends across crucial domains, such as disease diagnosis and monitoring, medical imaging, and the facilitation of remote healthcare services. The book provides a comprehensive overview of AI techniques for intelligent diagnoses, discussing how Machine Learning and Deep Learning models enhance accuracy and speed in medical imaging, diagnostics, and patient care. It also delves into the integration of AI with other disciplines, such as Data Science, computer vision, edge computing, robotics, and web development, to tackle complex medical challenges. The core of intelligent medical image classification is to use Machine Learning and Deep Learning algorithms to extract features from medical image data and classify them. Traditional Machine Learning methods include support vector machines (SVM), decision trees, random forests, etc., while Deep Learning methods have attracted much attention for their excellent performance in image recognition and classification tasks, especially the application of CNN.
