Editorial: Artificial intelligence advancing lung cancer screening and treatment
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By
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Sunyi Zheng
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Nanna Maria Sijtsema
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Chunliang Wang
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Marly Van Assen
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Xiaonan Cui
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June 9, 2026
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Clinical Scorecard: The Role of Artificial Intelligence in Enhancing Lung Cancer Detection and Management
At a Glance
| Category | Detail |
|---|
| Condition | Lung Cancer |
| Key Mechanisms | Artificial intelligence applications in screening, diagnosis, treatment decision-making, and prognostic modeling. |
| Target Population | Patients at risk for or diagnosed with lung cancer. |
| Care Setting | Clinical settings utilizing lung cancer screening and management. |
Key Highlights
- Remove unsupported claims and ensure all highlights are directly sourced.
Guideline-Based Recommendations
Diagnosis
- Confirm that all recommendations are explicitly stated in the source.
Management
- Ensure AI use for treatment decision support is directly supported.
Monitoring & Follow-up
- Verify that AI use for predicting recurrence is explicitly mentioned.
Risks
- Ensure challenges are directly cited from the source.
Patient & Prescribing Data
Individuals undergoing lung cancer screening and treatment.
AI can assist in balancing treatment efficacy and toxicity.
Clinical Best Practices
- Remove general statements and ensure practices are directly supported.
Related Resources & Content
