AI vs. PDFs: which tool helps future doctors pick the right cancer treatment?
NCT ID NCT06865534
First seen Aug 19, 2026 · Last updated Aug 19, 2026
Summary
This trial asks whether giving medical students access to large language models (like ChatGPT) helps them choose cancer treatments that align with expert tumor board decisions, compared to using standard treatment guideline PDFs. Around 70 medical students will review case vignettes of gynecologic cancers and select treatments, with their choices and confidence measured. The goal is to see if AI tools can serve as effective decision-support aids in medical education and oncology practice.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Large language model (LLM) and treatment guideline PDFs
- What this could lead to
- If LLMs help medical students make treatment decisions that better match expert tumor board recommendations, this could point toward AI as a useful training and decision-support tool in oncology.
- What could go wrong
- This is a small, early-stage study with 70 participants, and it measures hypothetical decisions on case vignettes, not real patient outcomes. LLMs may also provide inaccurate or biased information, so results may not reflect real-world clinical use.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Institute for Digital Medicine, University Hospital of Giessen and Marburg, Philipps University Marburg
Marburg, 35043, Germany
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