AstraZeneca Study Highlights AI’s Potential in Lung Cancer Detection for Resource-Limited Settings

As part of the study, AstraZeneca used Qure.AI’s qXR-LNMS tool, an AI-driven system that automatically detects lung nodules and lymph node metastasis on chest X-rays.

A recent study presented at the European Lung Cancer Congress (ELCC) 2025 by global pharmaceutical company AstraZeneca highlights the potential of AI in improving lung cancer risk detection, particularly in resource-limited healthcare settings.

The findings suggest that AI-integrated chest X-rays (CXR) could serve as a preliminary screening tool before low-dose computed tomography (LDCT), helping identify high-risk individuals and enhancing the cost-effectiveness of lung cancer screening programs.

“To transform patient care and work towards eliminating cancer as a cause of death, we must address the disproportionate burden in underserved regions through tailored and scalable solutions,” said Iskra Reic, Executive Vice President, International, AstraZeneca.

Transforming Cancer Detection with AI

Lung cancer remains the leading cause of cancer-related deaths worldwide and ranks fourth in India.

Early detection plays a crucial role in improving survival rates, and AI-driven diagnostic tools may help address disparities in screening access across low- and middle-income countries.

Sanjeev Panchal, Country President and Managing Director, AstraZeneca India Pharma, emphasized that leveraging AI technology could significantly enhance early diagnosis and patient outcomes.

As part of the study, AstraZeneca used Qure.AI’s qXR-LNMS tool, an AI-driven system that automatically detects lung nodules and lymph node metastasis on chest X-rays.

The AI’s predictions were compared to assessments made by radiologists using LDCT scans, the current gold standard in lung cancer diagnosis.

Unlike traditional methods, which require manual interpretation, AI provides automated, faster, and potentially more accurate risk assessments.

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