AI‐assisted software development for brachytherapy seed inventory management
Tonghe Wang, Joel Beaudry, Antonio L Damato, Marisa Kollmeier, David Aramburu Núñez · 2026
Read AI‐assisted software development for brachytherapy seed inventory management by Tonghe Wang, Joel Beaudry, Antonio L Damato, Marisa Kollmeier, David Aramburu Núñez (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13556308.txt.
Description
Wang and four co-authors use AI coding help to rebuild a tool that tracks radioactive seeds for cancer care, in a study from twenty twenty-six. Physics teams often write their own niche software without formal training. Those tools age badly and break when systems update. One physicist with no web coding skill led the rebuild through plain-language prompts.
A five-step loop of plan, review, build, verify, and feedback guided each stage. The new app handles five seed types across four clinical uses. It tracks batches, calibration, audits, and waste. It took about thirteen hours and about one hundred fifteen prompts. Users rated it far above the old tool. Novice testers fixed bugs in minutes with no help.
Catalog record
| CREATOR | Tonghe Wang, Joel Beaudry, Antonio L Damato, Marisa Kollmeier, David Aramburu Núñez |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |