Biomedical Engineering

AI and Technological Innovations

Inbunden, Engelska, 2025

Av Khin Wee Lai, Pauline Shan Qing Yeoh, Pauline Shan Qing Yeoh

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This book brings together contributions from leading experts in the field, each addressing a critical area where AI and technology are making significant impacts. By showcasing the latest research and innovations, this book aims to inspire continued exploration and development in this dynamic and rapidly evolving field.

Produktinformation

Utgivningsdatum2025-01-24
Mått155 x 235 x 16 mm
Vikt434 g
FormatInbunden
SpråkEngelska
SerieSeries in BioEngineering
Antal sidor163
FörlagSpringer Verlag, Singapore
ISBN9789819792931

Tillhör följande kategorier

Tillämpad fysik inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och it
Biomedicinsk teknik inom Medicin
Elektronik och kommunikationer inom Naturvetenskap och teknik
Artificiell intelligens inom Data och it

Dr. Khin Wee Lai obtained his PhD in Biomedical Engineering under DAAD PhD sandwich program between Technische Universität Ilmenau, Germany and Universiti Teknologi Malaysia, Johor Bahru. His research interests include medical imaging, 3D reconstruction and visualization, medical informatics and medical instrumentation. He is a professional member of ACM and he served as the member of board of editorial for a few international journals. Meanwhile, he is also the program committee and peer reviewer for over 20 international conferences.Dr. Pauline Shan Qing Yeoh received the B.Eng. (Hons.) and PhD degrees from Universiti Malaya, Malaysia. She is currently a Postdoctoral Research Fellow with the Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya. Her research interests include artificial intelligence, image processing, medical imaging, and healthcare analytics.

Development of a Web-Based Maternal Health Monitoring System: Advancing Beyond Manual Record-keeping.- Development and Testing of a Home-based Phototherapy System for Neonatal Jaundice.- Non-Invasive Blood Glucose Monitoring Via Infrared Absorbance.- mpowering Predictive Maintenance of Medical Equipment through AI[1]Driven Condition Monitoring.- Multi-Label Convolutional Neural Network For Multiple Diseases Detection In Chest Radiographs.- Artificial Intelligence in Prosthetic Gait Assessment and Prosthesis Control: Present and Future.- Preliminary Analysis of Ultrasound Features for Detection of Polycystic Ovary Syndrome (PCOS) in Women.- Mechanomyography Analysis of Respiratory Muscle Function while Singing in Spinal Cord Injury.