Hearsay: Vision-Language Medical Diagnoses Without an Image
arXiv:2607.26886v1 Announce Type: cross Abstract: When asked to describe a medical image that was never attached, frontier vision-language models do not abstain: they confabulate a diagnosis. We show that this confabulation is not random. It is structured by who the patient is said to be. Across chest X-ray, brain MRI, and dermatology, Claude Opus-4.7, GPT-5.4, and Gemini-3.1-Pro are each queried with only a demographic descriptor and no image, and changing the descriptor systematically shifts t
Record details
Published: 30 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Healthcare
Retrieved: 30 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Hearsay: Vision-Language Medical Diagnoses Without an Image
arXiv cs.AI · 29 July 2026
Socioeconomic Inference in LLM Medical Triage: Same Symptoms, Different ZIP Code
arXiv cs.CY · 28 July 2026
Large language models provide unsafe answers to patient-posed medical questions
OpenAlex · 13 February 2026
How Closely Do LLM Reviews Align with Human Peer Review?
arXiv · 4 August 2026
When Shippers Become Algorithms: Candidate Exposure, Information Design, and the Concentration of LLM-Mediated Freight Markets
arXiv cs.CY · 23 July 2026
When Shippers Become Algorithms: Candidate Exposure, Information Design, and the Concentration of LLM-Mediated Freight Markets
arXiv cs.AI · 22 July 2026
How to cite this record
ethics.ai (30 July 2026), “Hearsay: Vision-Language Medical Diagnoses Without an Image,” evidence record 14523, https://ethics.ai/record/14523 (originally published by arXiv cs.CY).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.