Automation and artificial intelligence in radiation therapy treatment planning

Area of Science:

• Radiation oncology
• Medical physics
• Health informatics

Background:

• Automation and artificial intelligence (AI) are increasingly integrated into radiation therapy.
• AI offers potential for improved workflows and efficiency in oncology departments.
• The rapid advancement of AI necessitates an examination of its impact on clinical practice.

Purpose of the Study:

• To highlight the current impact of AI on radiation therapy treatment planning.
• To explore potential future developments of AI in radiation oncology.
• To discuss the evolving role of radiation therapists (RTs) with AI implementation.

Main Methods:

• Commentary on the current state and future trajectory of AI in radiation oncology.
• Discussion of historical technological adoption by radiation therapists.
• Analysis of AI's influence on professional roles and service delivery.

Main Results:

• AI is beginning to impact radiation therapy planning and treatment processes.
• Radiation therapists in Australia play key roles in implementing automated solutions.
• RTs need to adapt and transform with AI integration for personalized patient care.

Conclusions:

• AI implementation requires RTs to remain informed and adaptable.
• RTs are crucial in ensuring AI enables personalized and high-quality patient treatment.
• Research must consider AI's impact on professional roles, safety, and service delivery alongside clinical outcomes.