LLMs Match Senior Doctors in Predicting Liver Cancer Therapy Outcomes
July 9, 2025
A study shows large language models can predict immunotherapy responses in liver cancer as accurately as experienced doctors.
Key Details
- Research led by Prof. Hai Li at Hefei Institutes systematically assessed LLMs' ability to predict liver cancer treatment response.
- LLMs tested: GPT-4, GPT-4o, Google Gemini, DeepSeek, and a hybrid Gemini-GPT model.
- Dataset included clinical and imaging data from 186 unresectable HCC patients.
- Gemini-GPT matched senior (15+ years) doctor accuracy and surpassed less-experienced clinicians in both speed and accuracy.
- Hybrid and logical strategies improved LLM performance and consistency, especially in identifying likely responders to therapy.
- Published in the Journal of Medical Systems on May 15, 2025.
Why It Matters
This work demonstrates the emerging capability of LLMs to support and enhance personalized cancer treatment decisions, showing they can complement or even match the expertise of experienced radiologists and oncologists in outcome prediction.