The Fundamentals of Digital Oncology is an essential introduction to the rapidly developing landscape of digital technologies in cancer care. This first volume lays the groundwork for understanding the pivotal role of big data, artificial intelligence, and interdisciplinary collaboration in shaping modern oncology. With a clear and structured overview, the book welcomes newcomers by breaking down complex concepts and guiding readers through the latest advancements, challenges, and practical applications. By reflecting cutting-edge research, it equips readers to appreciate the transformative impact of digital tools, from research labs to patient bedsides, and highlights the necessity of teamwork in driving progress.
In addition, the book delves into critical topics such as virtual tumor boards, ethical considerations in AI, and strategies for integrating digital approaches into clinical decision-making. Written for researchers, clinicians, and graduate students, it bridges information gaps by offering actionable insights and real-world examples.
In addition, the book delves into critical topics such as virtual tumor boards, ethical considerations in AI, and strategies for integrating digital approaches into clinical decision-making. Written for researchers, clinicians, and graduate students, it bridges information gaps by offering actionable insights and real-world examples.
Table of Contents
1. Understanding Digital Oncology2. Key Technologies in Digital Oncology
3. Data Management and Integration
4. AI and Machine Learning in Oncology
5. Telemedicine and Remote Patient Monitoring
6. Genomics and Precision Medicine
7. Wearable Technology and Mobile Health
8. Big Data and Analytics
9. Regulatory and Ethical Considerations
10. Future Directions and Innovations
