Cedars-Sinai researchers had created an artificial intelligence (AI) program that can accurately predict who is likely to develop pancreatic cancer based on their CT scan results from years before they were diagnosed.
The findings were published in the journal Cancer Biomarkers and could aid in the early detection of one of the most difficult tumors to cure, potentially saving lives.
Pancreatic ductal adenocarcinoma is the most common and dangerous kind of pancreatic cancer. Only approximately 10% of patients diagnosed with the disease survive for more than five years after starting treatment.
However, new research has found that identifying cancer early can increase survival rates by up to 50%. However, there is currently no straightforward method for diagnosing pancreatic cancer in its early stages.
General abdominal pain and unexplained weight loss are prominent symptoms of this form of cancer. However, they are often ignored or mistaken as signs of cancer because they are widespread in many health issues.