Exploring the Future of Biomedical Applications with AI, IoT, and Signal Processing

Discover the latest advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. This comprehensive guide explores the technological background, recent trends, and challenges of applied artificial intelligence in biomedical systems.

Technological Background and Recent Advancements

Part I of the book provides an in-depth look at the technological background of applied artificial intelligence in the biomedical domain. It sets the stage for understanding the recent advancements in automated medical image analysis, which have opened up ample research opportunities in the applications of deep learning to different diseases, as discussed in Part II.

Automated Medical Image Analysis and Deep Learning Applications

Deep learning has revolutionized the field of medical image analysis, enabling researchers and healthcare professionals to diagnose diseases more accurately and efficiently. This section delves into the various applications of deep learning in different diseases, highlighting the potential of AI in improving healthcare outcomes.

Cyberphysical Systems, Medical IoT, and Biosensors

Part III focuses on the use of cyberphysical systems that facilitate computing anywhere by utilizing medical IoT and biosensors. The numerous applications of this technology in the healthcare domain are explored, including remote patient monitoring, personalized medicine, and predictive analytics.

Signal Processing Applications in Healthcare

Signal processing plays a crucial role in healthcare, from analyzing medical images to predicting human diseases based on signal inputs. Part IV describes the different signal processing applications in the healthcare domain, shedding light on the potential of signal processing in improving patient care and disease management.

Biosensors and Security Aspects of Biomedical Images

The final section of the book highlights the scope and applications of biosensors and the security aspects of biomedical images. It emphasizes the importance of securing sensitive patient data and ensuring the integrity of biomedical images used in research and diagnosis.

Applied Artificial Intelligence: A Biomedical Perspective is an invaluable resource for researchers, industry professionals, faculty, and students working in biomedical applications of computer science and electronics engineering. It provides a comprehensive overview of the latest trends, challenges, and advancements in the field, making it an essential read for anyone interested in the future of healthcare technology.