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Updated: Mar 17, 2026

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

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Harnessing Artificial Intelligence to Code a Decision-Making Aid for the Prostate Cancer Brachytherapy

Abraham Gabriel¹, Georgios Antonoglou², Stephen Langley²

¹Medicine, Ashford and St. Peter's Hospitals NHS Foundation Trust, Surrey, GBR.

|March 16, 2026

Summary

This summary is machine-generated.

A new artificial intelligence (AI) tool, a custom generative pretrained transformer (GPT), accurately recommended prostate cancer brachytherapy treatments. This AI streamlines multidisciplinary team meetings (MDMs) by preselecting optimal strategies with 100% accuracy.

Keywords:

artificial intelligence brachytherapy chatgpt large language model multidisciplinary team meeting prostate cancer

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Area of Science:

Oncology
Artificial Intelligence
Medical Informatics

Background:

Artificial intelligence (AI) has shown promise in streamlining medical processes.
Previous work demonstrated ChatGPT's accuracy in recommending treatment options aligned with European Association of Urology (EAU) guidelines.
Generative pretrained transformers (GPTs) can now be customized using retrieval-augmented generation (RAG) for specific roles.

Purpose of the Study:

To develop and evaluate a custom GPT decision-making aid for prostate cancer brachytherapy treatment selection.
To utilize RAG technology within a prostate cancer multidisciplinary team (MDT) setting for the first time.

Main Methods:

ChatGPT 4.0 was prompted to create a custom GPT using RAG.
The GPT was trained using local Royal Surrey guidelines for prostate cancer brachytherapy.
The custom GPT's recommendations were compared against real-world MDT decisions.

Main Results:

A custom GPT tool for prostate cancer brachytherapy decision-making was successfully created and is available on GitHub.
The AI tool achieved 100% concordance with real-world MDT treatment strategy recommendations across 40 patient cases.
The AI tool accurately suggested the same brachytherapy treatment strategy as the MDM in all cases (40/40).

Conclusions:

This study demonstrates a practical application of novel AI technology in oncology decision-making.
The custom GPT has the potential to revolutionize MDM preparation by preselecting optimal treatment strategies with high accuracy.
This AI application can streamline cancer board meetings and facilitate more nuanced clinical discussions.