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AI and MRI Together May Help Doctors Better Predict Uterine Cancer Risk Before Surgery

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Preoperative risk assessment of invasive endometrial cancer using MRI-based radiomics a systematic review and meta-analysis.DOI 10.1007s00261-025-05005-8

Doctors are now using artificial intelligence (AI) in new ways to improve cancer care. A new study looked at whether AI tools that analyze MRI scans can help predict how serious endometrial cancer (cancer of the uterus lining) might be—before surgery even happens.

Researchers reviewed many studies that used MRI-based radiomics. This is a method where a computer looks at patterns in medical images and uses machine learning to assess cancer risk.

The results showed strong accuracy:

⦿ 85% accurate for predicting high-grade (more aggressive) cancer

⦿ 80–85% accurate for spotting cancer that invades deep into the muscle

⦿ 90% accurate for predicting spread to lymph nodes

These results suggest that AI can help doctors better understand how invasive the cancer is. That means patients might get more personalized care—some may need more aggressive treatment, while others could avoid unnecessary procedures.

Not all tools performed the same way, and the study found that different ways of reading or analyzing the images could lead to some variation.

Still, this technology shows promise. In the future, AI might become a regular part of how doctors plan endometrial cancer treatment.

If you’re preparing for surgery or have been diagnosed with endometrial cancer, ask your care team if MRI-based assessment could be part of your treatment planning.

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