The book explores the intersection of biomedical engineering, AI, and IoT in transforming healthcare systems. It delves into the applications and implications of these technologies, aiming to provide insights into how they can improve diagnostics, treatment, and patient care.
Key Topics Covered:
- Artificial Intelligence in Healthcare: The book discusses AI’s role in enhancing healthcare systems, including precision diagnostics, virtual assistants, and AI-driven medical imaging. It highlights AI’s capacity to improve disease prediction, patient management, and drug discovery.
- IoT in Healthcare: The integration of IoT in the healthcare sector is elaborated with examples like smart sensors, wearable devices, and networked systems that collect and process patient data. IoT is shown to have potential in remote patient monitoring, clinical decision-making, and overall healthcare system efficiency.
- Smart Sensors for Biomedical Applications: The book examines the role of biosensors and actuators in detecting and managing various health conditions, supporting more personalized healthcare solutions.
- AI and Robotics in Modern Health Ecosystems: The future of robotics and AI is explored with its potential to revolutionize surgical procedures, physical therapy, and rehabilitation. AI’s integration with robotics in areas such as stroke therapy, cancer detection, and prosthetics is highlighted.
- Challenges and Recommendations: While acknowledging the transformative potential of AI and IoT, the book also addresses the challenges associated with their implementation, including data security, privacy concerns, and the need for regulatory frameworks.
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