Artificial Intelligence in Radiation Oncology — 2023

Artificial Intelligence in Radiation Oncology — 2023

A technical overview of how artificial intelligence and data-driven methods can support research and selected workflows in radiation oncology.

Topics and Research Coverage

• Machine learning and neural-network concepts.
• Medical imaging data preparation and quality assurance.
• Segmentation and tumor or organ-at-risk contouring research.
• Radiotherapy treatment planning and optimization algorithms.
• Image guidance, outcome analysis and predictive modeling.
• Validation, bias, data quality and clinical implementation risks.

Study Perspective

AI tools in radiotherapy demand robust clinical validation, quality assurance and professional oversight. The volume provides a research context for applications rather than an autonomous treatment system or assurance of clinical effectiveness.

Who Will Find It Useful?

Radiation oncologists, medical physicists, biomedical data scientists, dosimetrists and postgraduate trainees.

PDF eBook Details

Language: English. Format: Digital PDF reference. This WordPress product is an unpublished draft with one PDF link configured. The edition and complete contents of the linked file still need checking; printed materials, equipment, certificates and standalone online services are not included.