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ASCO 2026 | AI could reduce global disparities in cancer detection and outcomes

Matthew Kurian, MD, St. Elizabeth Healthcare, Edgewood, KY, comments on the potential of artificial intelligence (AI) to improve disparities in cancer detection and outcomes, particularly in low- to middle-income countries, through early detection and improved screening rates. While AI has the potential to translate into reduced cancer rates, its implementation requires significant infrastructure and upfront capital costs, presenting a major barrier to its adoption. This interview took place during the 2026 American Society of Clinical Oncology (ASCO) Meeting in Chicago, IL.

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Transcript

AI has the potential to be able to improve disparities by early detection, and the use of those tools will then translate into improved outcomes and improved screening rates, which will then lead to reduced cancer rates for those low- to middle-income countries. The challenge, I think, with this is that it requires infrastructure to be able to make those things happen...

AI has the potential to be able to improve disparities by early detection, and the use of those tools will then translate into improved outcomes and improved screening rates, which will then lead to reduced cancer rates for those low- to middle-income countries. The challenge, I think, with this is that it requires infrastructure to be able to make those things happen. And it will also require a lot of upfront capital costs to be able to implement those things successfully in a long-term measure as well, too. So I think those are probably the main barriers at this point in time. But I think ASCO and many other organizations are committed to being able to help invest those resources along with many other companies to help level the playing field for those experiencing cancer throughout the world.

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