Login / Signup

Dissecting AI-based mutation prediction in lung adenocarcinoma: A comprehensive real-world study.

Gabriel DernbachDaniel KazdalLukas RuffMaximilian AlberEva RomanovskySimon SchallenbergPetros ChristopoulosCleo-Aron WeisThomas MuleyMarc A SchneiderPeter SchirmacherMichael ThomasKlaus-Robert MüllerJan BudcziesAlbrecht StenzingerFrederick Klauschen
Published in: European journal of cancer (Oxford, England : 1990) (2024)
Although deep learning models trained on larger cohorts show improved robustness and generalizability in predicting oncogenic mutations, they cannot replace comprehensive molecular profiling. However, they may support patient pre-selection for clinical trials and deepen the insight in genotype-phenotype relationships.
Keyphrases
  • deep learning
  • clinical trial
  • artificial intelligence
  • case report
  • machine learning
  • randomized controlled trial
  • convolutional neural network
  • phase ii
  • study protocol
  • phase iii
  • double blind