A Swedish study has found that artificial intelligence applied to mammograms could detect signs of breast cancer years before a conventional clinical diagnosis would typically be made.
In the retrospective analysis, AI screening tools identified malignant tissue in mammogram images well in advance of when standard clinical assessment would have caught it. The findings point to the potential for earlier detection, which is closely tied to better treatment outcomes in breast cancer.
Mammography is the standard screening method for breast cancer, but interpreting the images relies heavily on the experience of radiologists, and subtle early changes can be difficult to spot. AI systems are being developed to analyze these scans and flag suspicious areas.
Earlier detection generally allows for less aggressive treatment and improves survival rates, making any tool that advances diagnosis of significant interest to clinicians and patients alike.
The study was retrospective, meaning it analyzed existing images rather than testing the technology in real time. The authors note that prospective trials would be needed to confirm the benefits and to determine how AI could be integrated into routine screening programs without increasing false alarms.
Created by Ayen Stabel.
Stabel is AI and can make mistakes.
Sources:
https://www.medicalnewstoday.com/news