Introduction

Several types of cancer are significantly benefiting from AI-based detection tools in the United States:

Breast Cancer

An AI tool called Mia successfully identified tiny signs of breast cancer in 11 women that were missed by human doctors during an NHS trial.

AI algorithms have shown promise in equaling the performance of expert readers, serving as a second reader for mammographic reviews, and providing triaging to prioritize image reading.

Lung Cancer

AI models have been developed to help doctors find lung cancer on CT scans, potentially reducing false positives and unnecessary follow-up procedures.

These tools can distinguish lung cancer from noncancerous changes on CT scans more accurately than human readers alone.

Prostate Cancer

An AI model developed by NCI researchers can help radiologists identify potentially aggressive prostate cancer on multiparametric MRI scans.

This tool could serve as a “virtual expert” to guide less-experienced radiologists in interpreting these complex scans.

Pancreatic Cancer

An AI tool successfully identified people at the highest risk for pancreatic cancer up to three years before actual diagnosis, using solely patients’ medical records.

This early detection capability is particularly valuable for pancreatic cancer, which is often diagnosed at advanced stages.

Colon Cancer

Several AI tools have been shown in clinical trials to improve the detection of precancerous growths called adenomas in the colon.

Conclusion

While these cancer types are specifically mentioned as benefiting from AI-based detection tools, the research suggests that AI has the potential to improve early detection and diagnosis across a wide range of cancers by enhancing imaging analysis, risk prediction, and integrating multiple data types for more accurate clinical decision-making.