Liver cancer treatment has improved, but the risk of recurrence remains. Researchers have tested artificial intelligence (AI) to see if it can help predict whether liver cancer will return after the first treatment.
A recent study examined AI models that analyzed data from different treatments, including surgery, ablation, and transarterial chemoembolization. The findings suggest AI can identify patterns in medical data and predict the likelihood of recurrence with good accuracy.
This could help doctors and patients plan better follow-up care. Early detection of recurrence means quicker treatment, which may improve survival rates. AI is not perfect, but it is a promising tool for the future of liver cancer care.
DOI: 10.1186/s12880-024-01440-z
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