August 26, 2025npj Precision OncologyOpen Access

Systematic review and meta-analysis of artificial intelligence for image-based lung cancer classification and prognostic evaluation

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Discussion

Systematic review highlights artificial intelligence's role in lung cancer diagnosis and prognostic evaluation, indicating strong potential.

AI shows a combined sensitivity of 0.86 and specificity of 0.86 in diagnosing lung cancer, supporting its effectiveness.
In prognostic evaluation, pooled analyses reveal a hazard ratio of 2.53 for overall survival among high-risk patients with lung cancer.
This systematic review analyzed 315 studies, emphasizing the need for prospective multicenter validation in clinical settings.
AI's potential for lung cancer management is significant, but further research is necessary to overcome implementation challenges.

Yuan et al. (2025) studied this question.

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August 26, 2025npj Precision OncologyOpen Access

View Full Paper

Ask AI

Bookmark

Authors

Systematic review highlights artificial intelligence's role in lung cancer diagnosis and prognostic evaluation, indicating strong potential.

AI shows a combined sensitivity of 0.86 and specificity of 0.86 in diagnosing lung cancer, supporting its effectiveness.
In prognostic evaluation, pooled analyses reveal a hazard ratio of 2.53 for overall survival among high-risk patients with lung cancer.
This systematic review analyzed 315 studies, emphasizing the need for prospective multicenter validation in clinical settings.
AI's potential for lung cancer management is significant, but further research is necessary to overcome implementation challenges.

Yuan et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark