Back to search

Article

AI-Driven Computational Models for Lung Cancer Diagnosis: A Systematic Review and Meta-Analysis

2025-03-26

Abstract excerpt

Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection being critical for improving survival rates. While artificial intelligence (AI) has shown promise in enhancing lung cancer diagnosis and prognosis, challenges such as model generalizability, dataset diversity, and clinical validation hinder its widespread adoption. In recent years, hybrid approaches integrating deep l...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6a59a375-546a-5647-ad16-a35d41d8529b
DOI
10.20944/preprints202503.1981.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
AI-Driven Computational Models for Lung Cancer Diagnosis: A Systematic Review and Meta-AnalysisDOI 10.20944/preprints202503.1981.v1
AI-Based Computational Pathology for Precision Lung Cancer Management: A Systematic Review and Meta-Analysis of Diagnostics and Prognostic AlgorithmsSemantic proximity
Predicting EGFR Mutation Status in Non-Small Cell Lung Cancer Using Artificial Intelligence: A Systematic Review and Meta-Analysis.Semantic proximity
Radiomics and deep learning in lung cancer.Semantic proximity
Advancing Lung Cancer Classification through Machine Learning: A Comprehensive Comparative Analysis of Model PerformanceSemantic proximity
Prediction of oncogene mutation status in non-small cell lung cancer: A systematic review and meta-analysis with a special focus on artificial-intelligence-based methodsSemantic proximity
Comparing Modelling Architectures in the context of EGFR Status Classification in Non Small Cell Lung CancerSemantic proximity
Developing Digital Twin Modelling for Lung Cancer Management Powered by Deep Learning-based Survival Analysis, Risk Stratification and Decision Support RecommendationsSemantic proximity
I3LUNG: Clinical Validation of a Multimodal AI Tool to Support Immunotherapy Decisions in NSCLCSemantic proximity
Application of Artificial Intelligence in Chest X-ray for Assessing Lung Nodule Malignancy Risk in Comparison to Computed TomographySemantic proximity
A rapid review exploring the effectiveness of artificial intelligence for cancer diagnosisSemantic proximity
Prediction of Tumor Spread Through Air Spaces with an Automatic Segmentation Deep Learning Model in Peripheral Stage I Lung AdenocarcinomaSemantic proximity
Lung Cancer Prediction Using Machine Learning on Structured Clinical Data: A Systematic Review of Diagnosis, Risk, and Survival ModelsSemantic proximity
Select a neighboring publication to make it the new centre.