Accepted for/Published in: JMIR Cancer
Date Submitted: Feb 10, 2024
Open Peer Review Period: Feb 12, 2024 - Apr 8, 2024
Date Accepted: Jul 25, 2024
(closed for review but you can still tweet)
Artificial Intelligence as a potential catalyst to a more equitable cancer care
ABSTRACT
In an era, called as the Age of Digital Interdependance by the UN Secretary General, where technological advancements continually reshape the world, the health sector is facing a significant transformation. Artificial Intelligence (AI) emerges not just as a technological innovation but as a pivotal instrument in addressing the longstanding issue of healthcare disparities, among others. Moreover, AI has the potential to help overcome growing health challenges, including rising costs, demographic and epidemiological changes, unmet health needs related to the double burden of infectious and noncommunicable diseases, and a significant shortage of trained health professionals. This editorial explores the potential of AI as a catalyst in bridging the gap in healthcare equality, offering a scientifically grounded perspective on its integration into health systems. However, achieving true digital equity in the health sector goes beyond just technological advancements. Leaving no one behind in the digital age requires not only reaching populations in situations of greatest social, economic, geographic, or cultural vulnerability, but also includes those who are not digitally literate. Information and Communications Technologies (ICTs) have the potential to reduce health inequalities by enabling people to access information and digital tools for prevention and care at the right time and in the right format. Digital inclusion involves ensuring appropriate access, digital skills, and usability and navigability in the development of technological solutions. This approach should promote inclusion while respecting the autonomy of individuals and groups who decide not to use digital services.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.