| Format | EPUB |
|---|---|
| Size | 70 MB |
| Publisher | Elsevier |
| Edition | 1 |
| Language | English |
Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians (EPUB) is a groundbreaking reference that introduces healthcare professionals to the transformative impact of AI and ML in cancer treatment. As precision medicine evolves, this book equips clinicians with the tools and frameworks needed to apply algorithm-based decision-making in radiation oncology.
This comprehensive guide is essential for oncologists, medical physicists, radiologists, bioinformatics researchers, and advanced students aiming to understand how artificial intelligence reshapes radiation workflows, treatment planning, patient risk modeling, and outcome prediction.
This title firmly belongs to the field of Bioinformatics, bridging clinical oncology with data science. It explains not just how algorithms work but how they improve clinical efficiency and safety in high-risk environments like cancer radiotherapy.
| Attribute | Description |
|---|---|
| Format | EPUB |
| Target Audience | Radiation oncologists, data scientists, bioinformaticians, residents |
| Key Topics | Deep learning, radiomics, image segmentation, adaptive planning, AI ethics |
| Level | Graduate / Clinical / Research-Based |
Step-by-step applications of ML algorithms in clinical workflows
Case studies from leading oncology centers implementing AI tools
Discussion on ethical frameworks, data bias, and explainable AI in medicine
Visual aids to understand complex modeling techniques in real-time planning
Clinicians transitioning to data-assisted radiation treatment
Hospital teams building AI-integrated oncology units
Medical physicists seeking insights into predictive modeling tools
PhD students in bioinformatics or medical imaging
Whether you’re implementing AI for the first time or optimizing existing radiation processes, Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians (EPUB) will be your expert companion.
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