AI model detects pancreatic cancer years before clinical diagnosis

And REDMOD performed better than radiologists: it was nearly twice as sensitive–the ability to pick up true, rather than false, positive results-at accurately picking up 'invisible' early malignant cellular changes: 73% compared with 39%. And it was nearly 3 times as accurate as radiologists for cases detected more than 2 years before clinical diagnosis: 68% vs 23%.

They add: "While prospective validation is paramount to confirm clinical utility, the REDMOD framework represents a significant advance towards shifting the paradigm for sporadic [pancreatic ductal adenocarcinoma] from a late-stage symptomatic diagnosis to proactive pre-clinical interception, offering tangible hope for improving outcomes in this challenging disease."

Source:

BMJ Group

Journal reference: