Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care

Area of Science:

• Digital Health
• Health Equity
• Artificial Intelligence in Oncology

Background:

• Digital interdependence necessitates leveraging artificial intelligence (AI) to transform healthcare.
• Significant disparities and access barriers persist in healthcare delivery, particularly in cancer care.
• AI offers potential solutions to mitigate inequalities in health services.

Purpose of the Study:

• To explore the potential of artificial intelligence (AI) in reducing inequalities within cancer care.
• To identify key AI applications for improving health equity and access to medical services.
• To emphasize the role of AI in low- and middle-income countries' health systems.

Main Methods:

• Viewpoint analysis of AI's role in healthcare transformation and addressing disparities.
• Identification of AI applications such as health equity monitoring, predictive analytics, and personalized medicine.
• Discussion of inclusive development practices, ethical considerations, and data representation.

Main Results:

• AI can improve diagnostic accuracy, optimize resource allocation, and expand access to cancer care.
• AI-driven tools can enhance health equity monitoring and personalized medicine approaches.
• Implementation challenges include socioeconomic and geographical disparities, requiring inclusive strategies.

Conclusions:

• Artificial intelligence (AI) holds significant promise for reducing inequalities in cancer care globally.
• Inclusive development, ethical considerations, and diverse data are essential for equitable AI deployment.
• Collaborative efforts are needed to overcome barriers and integrate AI effectively into health systems, with further research on user experiences and socio-cultural factors.