High Accuracy in Early Detection
A recent scientific study revealed the ability of an artificial intelligence system named "Redmod" to detect subtle changes in pancreatic tissue that may indicate cancer, approximately 475 days on average before the disease is diagnosed, even in cases where no clear signs appear in CT scan images.
According to the study results, the system's sensitivity in detecting infected cases reached 73 percent, compared to 39 percent among radiologists. When analyzing images taken more than two years before diagnosis, the system's sensitivity reached 68 percent, compared to 23 percent among doctors.
Research Methodology and Comparison
Sputnik agency reported on Monday, citing the scientific website Science Daily, that researchers specializing in radiology, artificial intelligence, and medical image analysis, including Subanlal Mukherjee affiliated with a research team working at the Mayo Clinic in the United States and other medical institutions, analyzed CT scan images of 219 patients who were later diagnosed with pancreatic cancer.
The researchers compared these images with images of 1,243 people who were not diagnosed with the disease during a follow-up period extending to three years. The system relies on analyzing subtle patterns in pancreatic tissue that are difficult to observe when examining medical images, and it can automatically identify the location of the pancreas within the images, reducing the need to manually define its boundaries.
Challenges and Future Prospects
Researchers emphasized that despite the importance of the results, further testing on groups of patients, especially those at higher risk, is still needed before adopting the system in medical practice and verifying its ability to improve diagnosis and treatment outcomes.
Early detection of pancreatic cancer remains one of the most prominent medical challenges, as the disease is often discovered in advanced stages due to the absence of clear symptoms in its early stages and the difficulty in detecting early changes, which limits the chances of timely therapeutic intervention.
Source: Syrian Arab News Agency (SANA)
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