
A study found that AI chatbots performed better than medical experts at explaining MRI reports to patients.
Key Details
- 1Researchers compared GPT o1-preview and Deepseek-R1 chatbots in interpreting over 6,000 MRI reports of patients with tumors.
- 2Tasks included explaining findings in layperson terms, classifying lesions, assessing need for surgery, and recommending treatment plans.
- 3Traditional radiology reports are often too complex for patients, causing delays and increased physician workload.
- 4The study was published in Scientific Reports and conducted by a team at Peking Union Medical College Hospital, China.
Why It Matters
AI chatbots could bridge the communication gap between radiologists and patients by making complex reports accessible, potentially reducing consultation delays and healthcare burdens. This highlights a growing role for AI tools in supporting patient-centered radiology workflows.

Source
Health Imaging
Related News

•Radiology Business
RadNet Study: AI Boosts Breast Cancer Detection in Largest-Ever Real-World Analysis
A massive real-world study by RadNet shows AI-assisted mammography increased breast cancer detection by 21.6%.

•AuntMinnie
Multimodal MRI Radiomics Model Predicts Long-Term Survival in Breast Cancer
A multimodal MRI radiomics and deep learning model outperformed traditional models in predicting 5- and 7-year survival for breast cancer patients receiving neoadjuvant chemotherapy.

•AuntMinnie
AI Predicts 10-Year Mortality and Hip Fracture Risk from DEXA Scans
A self-supervised AI model predicts 10-year mortality and hip fractures using only DEXA scans.