AI Medical Imaging Revolution
Machine Learning and Deep Learning Techniques for Medical Image Recognition provides authoritative coverage of convolutional neural networks, semantic segmentation, and large-scale radiology database mining applications. Soufiene and Chakraborty systematically explore CNN theory, practical implementation strategies, and varied selection techniques for medical imaging supported by comprehensive case studies. The text emphasizes real-world applications across chest X-rays, breast computer-aided detection, lung imaging, microscopy, and pathology, while addressing COVID-19 diagnostic challenges through machine learning solutions. Detailed coverage of common research problems, technical limitations, and implementation methodologies makes this resource invaluable for researchers advancing medical image analysis. The authors successfully bridge theoretical foundations with practical applications, demonstrating how deep learning algorithms enhance diagnostic accuracy and clinical decision-making processes across diverse medical imaging modalities.
Machine Learning and Deep Learning Techniques for Medical Image Recognition
Ben Othman Soufiene&Chinmay Chakraborty (Editors)
CRC Press
Pages 270, £49.99
Healthcare Innovation Conference Proceedings
Recent Trends in Healthcare Innovation compiles groundbreaking research from AICRTHI 2024, featuring peer-reviewed papers addressing artificial intelligence integration in medical diagnostics, telemedicine infrastructure development, and collaborative healthcare solutions. The editors present comprehensive coverage of machine learning applications in clinical settings, wearable technology advances, and public health epidemiology innovations. Particularly valuable sections explore deep learning methods for tuberculosis diagnosis, automated pneumonia detection systems, and predictive modeling for cardiovascular diseases. The proceedings demonstrate practical implementation strategies for healthcare technology deployment while addressing sustainability concerns and ethical considerations. Expert contributions from academia, industry, and healthcare institutions worldwide provide evidence-based insights into emerging trends, technological breakthroughs, and their implications for patient care and global health outcomes.
Recent Trends in Healthcare Innovation
Gururaj H.L., Francesco Flammini, Ravi Kumar &Prema N.S. (Editors)
CRC Press
Pages 506, $170.00
Medical 4.0 Technology Integration
Smart Devices for Medical 4.0 Technologies addresses critical challenges in deploying intelligent health technologies for ubiquitous healthcare access. Guduri, Chakraborty, and Margala focus on real-time implementation of deep learning algorithms, novel smart healthcare solutions, and VLSI techniques for medical devices. The text provides comprehensive coverage of wearable device design challenges, including pacemakers, defibrillators, and RFID systems, while exploring innovative solutions for assistive devices using Medical 4.0 paradigms. A standout feature includes detailed case study analysis of AI-tuned cardiac pacemaker technology. The authors successfully demonstrate how machine learning techniques enhance medical device functionality while addressing deployment barriers. This specialized resource proves essential for graduate students and researchers in biomedical, electrical, and computer engineering disciplines seeking to understand smart healthcare technology implementation and optimization strategies.
Smart Devices for Medical 4.0 Technologies
Manisha Guduri, Chinmay Chakraborty & Martin Margala (Editors)
CRC Press
Pages 242, £120.00
Comprehensive HealthTech Transformation Guide
Innovation in Healthtech: A Roadmap for Empowering Healthcare explores sophisticated data analysis revolutionizing healthcare decision-making, personalized treatments, and operational efficiency. Kumar and Gupta provide valuable insights into telemedicine infrastructure development, wearable technology integration, and robust security measures for medical data protection. The text examines artificial intelligence applications in clinical decision-making while addressing interoperability frameworks enabling seamless health technology integration. Comprehensive coverage includes digital health records, blockchain security implementation, and ethical considerations balancing innovation with privacy protection. Real-world examples demonstrate successful HealthTech empowerment strategies across various healthcare settings. The authors effectively bridge theoretical concepts with practical implementation guidelines, making this resource invaluable for healthcare professionals, researchers, and technology leaders interested in leveraging emerging technologies for enhanced healthcare delivery and patient outcomes.
Innovation in Healthtech: A Roadmap for Empowering Healthcare
Rakesh Kumar &Meenu Gupta (Editors)
CRC Press
Pages 346, $170.00
Nanosensor Diagnostic Innovation
Nanosensors as Robust Non-Invasive Diagnostic Tools for Remote Health Monitoring addresses advancement in nanomaterials for developing non-invasive healthcare sensors using hybrid nanocomposite combinations. Dwivedi, Chakraborty, Jeon, and Zhang focus on cost-effective methodologies increasing fabrication process scalability while providing end-to-end solutions for smart diagnosis systems. The text covers healthcare sensor device design, AI technique reviews for sensor applications, and nanomaterial biosensing implementations. Comprehensive coverage includes non-invasive diagnosis strategies, remote healthcare solutions, and IoMT integration with smart application communication. The authors successfully demonstrate how nanosensor technology enables painless diagnostic procedures while maintaining accuracy and reliability. This specialized resource proves essential for graduate students and researchers in biomedical engineering, medical device development, machine learning pattern recognition, and nanotechnology applications seeking innovative diagnostic solutions for real-time healthcare scenarios.
Nanosensors as Robust Non-Invasive Diagnostic Tools for Remote Health Monitoring
Priyanka Dwivedi, Chinmay Chakraborty, Gwanggil Jeon & Yan Zhang (Editors)
CRC Press
Pages 270, £120/ eBook£42.39
Future Healthcare Digital Transformation
Future Health Scenarios: AI and Digital Technologies in Global Healthcare Systems provides multidisciplinary approaches to digital technology investment and research in health management models. Sousa, Nunes, Nascimento, and Chakraborty explore future health scenarios constituted by clinical decision-making technologies and health management systems. The text addresses AI integration in diagnostic laboratories, telemedicine infrastructure development, and digital health transformation strategies. Comprehensive coverage includes technological breakthroughs impact on patient care, global healthcare system implications, and collaborative framework development between technology providers and healthcare practitioners. The authors successfully demonstrate how digital technologies reshape healthcare delivery while addressing implementation challenges and regulatory considerations. This valuable resource serves healthcare professionals, researchers, academics, and policymakers interested in leveraging artificial intelligence and digital technologies for enhanced healthcare outcomes and operational efficiency improvements.
Future Health Scenarios: AI and Digital Technologies in Global Healthcare Systems
Maria José Sousa, Francisco GuilhermeNunes, Generosa do Nascimento&Chinmay Chakraborty (Editors)
CRC Press
Pages 290, £49.99
Intelligent IoT Healthcare Integration
Intelligent Internet of Things for Smart Healthcare Systems focuses on artificial intelligence and IoT integration developments for smart healthcare with emphasis on laboratory automation and connected diagnostic devices. Srivastava, Sharma, Sinwar, Yousif, and Gupta provide insights into current methodologies and frameworks for convergence technology design, development, implementation, and creative applications. The text addresses intelligent health monitoring systems, automated laboratory processes, and AI-powered healthcare solutions. Comprehensive coverage includes IoT device connectivity, smart diagnostic equipment integration, and real-time health data processing capabilities. The authors successfully demonstrate how IoT and AI convergence enhances healthcare delivery while addressing security, privacy, and interoperability challenges. This essential resource proves valuable for researchers, healthcare professionals, and technology developers seeking to implement intelligent healthcare systems that improve patient outcomes through innovative IoT applications and artificial intelligence integration.
Intelligent Internet of Things for Smart Healthcare Systems
Durgesh Srivastava, Neha Sharma, Deepak Sinwar, Jabar H. Yousif& Hari Prabhat Gupta (Editors)
CRC Press
Pages 270, £45.99
– Dr Sri Nayana Kavuri
