Biomedical Engineering

AI and Technological Innovations

Pauline Shan Qing Yeoh (Hrsg.), Khin Wee Lai (Hrsg.)

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ca. 139,09

Springer Nature Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Biochemie, Biophysik

Beschreibung

This book brings together contributions from leading experts in the field, each addressing a critical area where AI and technology are making significant impacts. The chapters encompass a wide range of topics, from the application of machine learning in cancer grading and maternal health monitoring to the development of innovative wearable devices and advanced diagnostic tools. The book not only underscores the transformative potential of AI and technology in biomedical; but also serves as a vital resource for researchers, practitioners, and students. By showcasing the latest research and innovations, this book aims to inspire continued exploration and development in this dynamic and rapidly evolving field.

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Schlagwörter

Model-Agnostic Meta Learning (MAML), Respiratory Muscle Function, Gait Assessment, Neonatal Jaundice, Mechanomyography Analysis, Maternal Health Monitoring System, Neural Network, Automated Invasive Ductal Carcinoma Grading, Polycystic Ovary Syndrome (PCOS), Wearable Phototherapy