Stereotactic Body Radiotherapy (SBRT): Precision and AI Integration for Personalized Cancer Treatment

Stereotactic body radiotherapy (SBRT) is a precision-driven radiotherapeutic approach that delivers high-dose radiation to tumor sites with remarkable accuracy while sparing surrounding healthy tissues. Recent advancements in treatment planning algorithms, cutting-edge image-guided technologies, and stringent quality assurance procedures have pushed SBRT to the forefront of cancer treatment. Integrating artificial intelligence (AI) into every step of SBRT, from imaging to radiation delivery, promises to revolutionize this field, offering more tailored and effective therapies.

This Research Topic aims to explore the intersection of SBRT and AI, gathering original research and studies to address the critical technical and clinical challenges in implementing AI within the SBRT workflow. By highlighting current advancements and identifying future opportunities, this collection seeks to outline the transformative potential of AI strategies in enhancing SBRT's clinical practice.

We invite contributions focusing on the innovative use of AI in SBRT, specifically in areas such as:
· AI-driven treatment simulation, including patient positioning and motion detection.
· Advanced AI applications in imaging for precise target definition and organ contouring.
· AI optimization of radiation fractionation, timing, and dosage.
· Enhancements in radiation delivery through AI techniques.
· AI-based quality assurance protocols to ensure treatment accuracy.
· Predictive models utilizing AI for radiobiology, treatment outcomes, and toxicity prediction.

Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Systematic Review
• Technology and Code

Keywords: Stereotactic Body Radiotherapy (SBRT), Artificial Intelligence (AI), High-Dose Radiation Therapy, Treatment Planning Algorithms, Personalized Medicine, Radiation Fractionation Optimization, Predictive Models

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.