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Artificial Intelligence in Radiotherapy: A Philosophical Perspective.

Pete Bridge¹, Robert Bridge²

¹Radiotherapy Department, School of Health Sciences, University of Liverpool, Liverpool, UK.

Journal of Medical Imaging and Radiation Sciences

|October 9, 2019

Summary

Artificial intelligence (AI) in radiotherapy offers speed and accuracy but requires careful consideration of its impact. A philosophical approach is crucial to ensure human creativity, innovation, and patient safety remain central to care.

Keywords:

Artificial intelligence philosophy radiotherapy

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Area of Science:

Radiotherapy and Medical Physics
Artificial Intelligence in Medicine
Philosophy of Technology

Background:

Machine learning and AI are increasingly integrated into radiotherapy for segmentation and planning.
This integration promises enhanced speed and accuracy in procedures.
A gap exists between AI development and widespread clinical adoption, offering a window for preparation.

Purpose of the Study:

To explore the implications of artificial intelligence (AI) on radiotherapy practices.
To consider the philosophical impact of AI on human creativity, innovation, and patient safety.
To advocate for a proactive, philosophical approach to AI adoption in healthcare.

Main Methods:

Commentary and philosophical analysis of AI's role in radiotherapy.
Identification of key areas in radiotherapy potentially affected by AI.
Discussion of ethical considerations and the importance of human attributes.

Main Results:

AI integration in radiotherapy may pose risks to human creativity, innovation, and patient safety.
Uniquely human attributes such as empathy and ethical judgment are vital in AI-assisted radiotherapy.
Current AI applications are largely quantitative, but ethical concerns arise with broader roles.

Conclusions:

A philosophical framework is essential for integrating AI into radiotherapy responsibly.
Human oversight and uniquely human attributes must be preserved in AI-driven radiotherapy.
Proactive planning and a philosophical approach are necessary to guide the evolution of AI in patient care.