In a major advancement for cancer diagnostics, researchers at Mayo Clinic have developed an artificial intelligence (AI) system capable of detecting pancreatic cancer up to three years before it is typically diagnosed offering new hope for early intervention in one of the deadliest cancers.
The AI model, known as the Radiomics Based Early Detection Model (REDMOD), analyzes routine abdominal CT scans and identifies subtle tissue changes that are invisible to the human eye. These early warning signs appear long before tumors become detectable through conventional imaging, allowing doctors to potentially intervene at a stage when the disease is still treatable.
In the study, researchers examined nearly 2,000 CT scans, including scans from patients who were later diagnosed with pancreatic cancer but initially showed no visible abnormalities. The AI system successfully identified 73% of these prediagnostic cancer cases, often around 16 months earlier than standard diagnosis nearly doubling the detection rate compared to specialists reviewing the same scans without AI assistance.
The results were even more striking in earlier scans. For images taken more than two years before diagnosis, the AI detected nearly three times more early stage cancers than traditional methods, highlighting its potential to transform early screening and detection strategies.
Pancreatic cancer is particularly challenging because it rarely shows symptoms in its early stages. More than 85% of cases are diagnosed after the disease has already spread, leading to poor survival rates. By enabling earlier detection, AI tools like REDMOD could significantly improve outcomes by allowing timely treatment and increasing survival chances.
Experts believe this breakthrough marks a turning point in oncology, where AI is no longer just assisting diagnosis but actively uncovering diseases before they become clinically visible. The study, published in the journal Gut, underscores the growing role of AI in transforming medical imaging and preventive healthcare.
“The greatest barrier… has been our inability to see the disease when it is still curable.”
By
HB Team
