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Artificial Intelligence-Based Methods: The Path Forward in Achieving Equity in Lung Cancer Screening and Evaluation
Stephen J Kuperberg1,2, David C Christiani3
1Division of Pulmonary and Critical Care Medicine, New York City Health and Hospitals, Woodhull Brooklyn New York USA.
Cancer Innovation
|June 23, 2025
Summary
Artificial intelligence (AI) can improve lung cancer screening and diagnosis, addressing disparities in care for marginalized groups. AI enhances research methods to improve patient outcomes in lung cancer prevention and early detection.
Area of Science:
- Public health
- Medical research
- Artificial intelligence
Background:
- Lung cancer is a significant global health concern.
- Existing screening and prevention methods show promise but face challenges.
- Ethnic and socioeconomic disparities limit access to preventive lung cancer services.
Purpose of the Study:
- To explore novel approaches for improving lung cancer research methods.
- To highlight the potential of artificial intelligence (AI) in lung cancer care.
- To address disparities in lung cancer screening and diagnosis.
Main Methods:
- Review of current challenges in lung cancer screening and prevention.
- Exploration of artificial intelligence (AI) applications, including machine learning and natural language processing.
- Perspective on AI's role in the lung cancer diagnostic continuum.
Main Results:
- AI can enhance the speed, accuracy, and capability of research methods.
- AI offers potential solutions to improve outcomes in lung cancer care.
- AI can help bridge the gap in access to preventive services for marginalized populations.
Conclusions:
- Artificial intelligence (AI) presents a promising avenue for advancing lung cancer screening and diagnosis.
- AI methods are essential tools for improving research and patient outcomes.
- Addressing disparities requires innovative approaches like AI in lung cancer care.
