Track: Digital Health and AI for Equitable Cancer Prevention

Digital Health

Artificial intelligence and digital health tools are transforming cancer screening and early detection, but their benefits remain unevenly distributed. This session examines how digital innovation can be deployed deliberately and equitably across diverse healthcare systems, ensuring that technological progress in preventive oncology reaches underserved populations rather than widening existing gaps.


Low-Cost AI-Assisted Diagnostic Tools for Resource-Limited Settings

Affordable AI diagnostic solutions can extend screening capacity where specialist access is limited. This sub-topic explores the development and deployment of low-cost imaging and diagnostic algorithms suited to resource-constrained environments.


Telemedicine and Remote Diagnostic Platforms in Cancer Care

Telehealth can bridge distance-related gaps in cancer care access. This sub-topic examines remote consultation models, virtual tumor boards, and digital referral systems that connect underserved patients with specialist expertise.


Ethical Considerations in AI Training Data and Representation

AI models trained on non-representative data risk producing inequitable outcomes. This sub-topic addresses the importance of diverse, globally representative datasets in building fair and accurate diagnostic algorithms.


Mobile Health Applications for Cancer Awareness and Self-Screening

Smartphone-based tools are expanding access to cancer education and preliminary self-assessment. This sub-topic highlights mobile health applications that support awareness, risk assessment, and screening referrals in underserved communities.


Infrastructure and Funding Models for Equitable Digital Health Adoption

Scaling digital health solutions requires investment beyond the technology itself. This sub-topic examines funding mechanisms, infrastructure partnerships, and policy support needed to ensure digital cancer prevention tools reach low-resource regions alongside high-income markets.


If you are advancing digital health or AI research aimed at closing global gaps in cancer prevention, this is your opportunity to share your work. Submit an abstract to present innovations, platforms, or implementation strategies that extend equitable access to early detection and diagnosis. Join us in shaping a more inclusive digital future for cancer prevention.