Oncology Needs Living Evidence, Not More AI Summaries | Opinion
Summary
Oncology, the study and treatment of cancer, now has a lot of new information due to scientific progress. However, doctors face challenges in managing and using this large amount of evidence to make the best treatment decisions for patients. Using artificial intelligence (AI) to continuously update and organize this evidence, called "living evidence," can improve how quickly and accurately doctors get the information they need.Key Facts
- Precision oncology offers more treatment options but creates challenges in managing evidence.
- Over 7,000 cancer studies were presented at the 2026 American Society of Clinical Oncology meeting.
- Doctors must use many sources to find relevant information, making it hard to organize evidence for individual patients.
- Cancer patients vary biologically and clinically, so treatment evidence needs to be carefully tailored.
- Traditional methods like clinical guidelines and literature reviews are important but slow and can become outdated.
- "Living evidence" means continuously updating the medical research and data as new information emerges.
- AI can help by quickly scanning and connecting research but must ensure accuracy and traceability.
- Pharmaceutical companies also need up-to-date evidence for drug development and regulatory decisions.
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