Share:
Peer-Reviewed Publication
Cancer Cell2026;44(3):460-462.March 9, 2026Journal Article

AI for cancer treatment information: Can academia stay in the game?

Justin Jee1, Travis Zack2
1Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: jeej@mskcc.org.
2OpenEvidence, Cambridge, MA, USA.

Abstract

In this issue of Cancer Cell, Jun et al. developed a retrieval-augmented large language model linked to an academia-led molecular knowledge database, demonstrating how AI may deliver cancer treatment information without hallucination. It must compete for adoption amid a fast-paced, industry-led transformation in the flow of clinical information to patients.

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.