Gurpreet Singh Chhabra – författare

In the ever-evolving landscape of cancer treatment, the fusion of artificial intelligence (AI) with medical science marks a groundbreaking shift toward more precise, efficient, and personalized healthcare. Artificial Intelligence Revolutionizing Cancer Care: Precision Diagnosis and Patient-Centric Healthcare delves into the transformative power of AI, offering a comprehensive exploration of its role in enhancing cancer diagnosis, treatment, and patient management. This edited volume brings together leading experts and researchers who illuminate the latest advancements in AI technologies applied to oncology. From machine learning algorithms that predict cancer progression to sophisticated imaging techniques that improve diagnostic accuracy, this book covers a spectrum of innovations reshaping cancer care. Key highlights include precision diagnosis, uncovering how AI-driven tools are revolutionizing the early detection and accurate classification of various cancer types, leading to better patient outcomes; patient-centric approaches, exploring the shift toward personalized medicine, where AI tailors treatment protocols to individual patient profiles, ensuring more effective and targeted therapies; and ethical and practical considerations, gaining insights into the ethical, practical, and regulatory challenges of integrating AI in healthcare, emphasizing the need for patient privacy and data security. Additionally, the book looks ahead to the potential future applications of AI in oncology, including predictive analytics, robotic surgery, and beyond. Artificial Intelligence Revolutionizing Cancer Care is an essential resource for medical professionals, researchers, and students seeking to understand the intersection of AI and oncology. It offers a visionary perspective on how cutting-edge technology is poised to enhance patient care and transform the fight against cancer.This bookfocuses on the critical intersection of artificial intelligence and cancer diagnosis within the healthcare sectoremphasizes the real-world impact of artificial intelligence in improving cancer detection, treatment, and overall patient carecovers artificial intelligence algorithms, machine learning techniques, medical image analysis, predictive modeling, and patient care applicationsexplores how artificial intelligence technologies enhance the patient’s experience, resulting in better outcomes and reduced healthcare disparitiesprovides readers with an understanding of the mathematics underpinning machine learning models, including decision trees, support vector machines, and deep neural networksIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, and information technology.

In a world increasingly driven by technology, this book explores the intersection of artificial intelligence (AI), IoT, and Cloud Computing and women's safety, highlighting the transformative potential of technology in safeguarding women's well-being in the physical and the digital world. As the safety and security industry embraces technological advancements, the need for inclusive and gender-centric solutions has become increasingly evident. This reference book delves into this critical area, showcasing the development of AI, IoT, and Cloud applications specifically tailored to address the unique safety challenges faced by women.• Provides a comprehensive exploration of how AI and related technologies are reshaping the future of women's safety.• Emphases the utilisation of AI to tackle the specific challenges women encounter in various contexts.• Introduces innovative solutions such as wearable technology, AI-powered surveillance systems, and mobile applications designed for emergency responses.• Discusses ethical implications of deploying technology for personal security and navigates the evolving legal landscape surrounding data privacy.• Bridges the gap between theoretical discussions and practical implementations, offering a guide to developing technology for the improvement of women's safety.It is an invaluable resource for professionals and researchers interested in the transformative role of AI, IoT, and Cloud in shaping the future of women's safety.