AI Predicts Lung Cancer Outcomes with Hybrid Machine Learning


Published in: Journal of Nuclear Medicine
Cited by: 4 (Since 2023)

Breakthrough:
NAIRG’s latest AI-driven study combines Tensor Deep Learning and Radiomics to predict lung cancer survival rates with unprecedented accuracy.

Key Findings:
Hybrid AI models improve lung cancer prognosis predictions.
Deep radiomics features enhance tumor characterization.
Fusion of PET-CT imaging improves survival outcome analysis.

Impact:
This research supports the clinical adoption of AI for cancer treatment planning, enabling better patient management and survival predictions.

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