Deep Learning-Based Risk Factor Analysis for Accurate Prediction of Lung Cancer in High-Risk Populations

This work underscores the transformative impact of AI-driven approaches in lung cancer prognosis and highlights future opportunities for improving clinical outcomes.

Authors

Institutions

Publication Details

Journal
American Journal of Clinical Oncology
Published
2025-12-24
DOI
https://doi.org/10.1097/coc.0000000000001284
Citations
1
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.52
Controls
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article

Deep Learning-Based Risk Factor Analysis for Accurate Prediction of Lung Cancer in High-Risk Populations

N. M. Kandoi, Anand Sharma
1 citations
American Journal of Clinical Oncology
Lung Cancer Diagnosis and Treatment
1.52
article

Deep Learning-Based Risk Factor Analysis for Accurate Prediction of Lung Cancer in High-Risk Populations

N. M. Kandoi, Anand Sharma
article en
1 citations

Abstract

This work underscores the transformative impact of AI-driven approaches in lung cancer prognosis and highlights future opportunities for improving clinical outcomes.

American Journal of Clinical Oncology
H.B. Fuller (United States) (US), Information Today (United States) (US), Artistic Realization Technologies (US)
Good health and well-being
Openalex Percentile: Top 12%
Lung Cancer Diagnosis and Treatment
1.52
DOISourceOpenAlex
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Deep Learning-Based Risk Factor Analysis for Accurate Prediction of Lung Cancer in High-Risk Populations — N. M. Kandoi, Anand Sharma · American Journal of Clinical Oncology (2025) | TGRS Research Map | TGRS