In an Oxford study, LLMs correctly identified medical conditions 94.9% of the time when given test scenarios directly, vs. 34.5% when prompted by human subjects (Nick Mokey/VentureBeat)

Nick Mokey / VentureBeat: In an Oxford study, LLMs correctly identified medical conditions 94.9% of the time when given test scenarios directly, vs. 34.5% when prompted by human subjects  —  Headlines have been blaring it for years: Large language models (LLMs) can not only pass medical licensing exams but also outperform humans.

Jun 14, 2025 - 20:00
18219
In an Oxford study, LLMs correctly identified medical conditions 94.9% of the time when given test scenarios directly, vs. 34.5% when prompted by human subjects (Nick Mokey/VentureBeat)

Nick Mokey / VentureBeat:
In an Oxford study, LLMs correctly identified medical conditions 94.9% of the time when given test scenarios directly, vs. 34.5% when prompted by human subjects  —  Headlines have been blaring it for years: Large language models (LLMs) can not only pass medical licensing exams but also outperform humans.

This article has been sourced from various publicly available news platforms around the world. All intellectual property rights remain with the original publishers and authors. Unshared News does not claim ownership of the content and provides it solely for informational and educational purposes voluntarily. If you are the rightful owner and believe this content has been used improperly, please contact us for prompt removal or correction.