ArticleTumori2026
Generative AI and medical oncologists: Be curious, but cautious!
Article in Tumori, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this editorial is to explore the potential and risks of using AI in the medical field, particularly in oncology. We describe the history of AI from its origins to the present day, highlighting its positive aspects and potential for each type of AI (expert system, machine learning, generative AI). Technologies like ChatGPT are increasingly being used across various domains; however, without proper caution, they can give rise to phenomena such as 'AI hallucinations'-responses that may appear precise, detailed, clear, and logical, but are in fact entirely fabricated and unfounded, potentially confusing those who read them. We want to caution oncologists against the unconditional use of these technologies, where human input remains still essential both in interpreting the responses and in formulating the questions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.