mlsanityData to 14 Oct 2026

A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning

arXiv 2506.07236 ↗First posted 8 Jun 2025eess.IV cs.CVcited by 4

Not on the map. Why?

Abstract (arXiv)

Lung cancer remains one of the most prevalent and fatal diseases worldwide, demanding accurate and timely diagnosis and treatment. Recent advancements in large AI models have significantly enhanced medical image understanding and clinical decision-making. This review systematically surveys the state-of-the-art in applying large AI models to lung cancer screening, diagnosis, prognosis, and treatment. We categorize existing models into modality-specific encoders, encoder-decoder frameworks, and joint encoder architectures, highlighting key examples such as CLIP, BLIP, Flamingo, BioViL-T, and GLoRIA. We further examine their performance in multimodal learning tasks using benchmark datasets like LIDC-IDRI, NLST, and MIMIC-CXR. Applications span pulmonary nodule detection, gene mutation prediction, multi-omics integration, and personalized treatment planning, with emerging evidence of clinical deployment and validation. Finally, we discuss current limitations in generalizability, interpretability, and regulatory compliance, proposing future directions for building scalable, explainable, and clinically integrated AI systems. Our review underscores the transformative potential of large AI models to personalize and optimize lung cancer care.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 64 of its 192 references that are in the map. First posted on arXiv 8 Jun 2025.

Builds on

64 of 192 references.

References · 64

  1. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,585
  2. 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Modelscited by 6,137
  3. 2022Flamingo: a Visual Language Model for Few-Shot Learningcited by 4,386
  4. 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generationcited by 4,322
  5. 2021Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervisioncited by 3,864
  6. 2022Large Language Models Encode Clinical Knowledgecited by 1,830
  7. 2019Federated Learning: Challenges, Methods, and Future Directionscited by 1,538
  8. 2019CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparisoncited by 1,423
  9. 2017ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseasescited by 972
  10. 2019PadChest: A large chest x-ray image dataset with multi-label annotated reportscited by 309
  11. 2023Learning to Exploit Temporal Structure for Biomedical Vision-Language Processingcited by 211
  12. 2019Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosiscited by 165
38 more
  1. 2017What do we need to build explainable AI systems for the medical domain?cited by 129
  2. 2024Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Surveycited by 83
  3. 2023A Survey on Uncertainty Quantification Methods for Deep Learningcited by 81
  4. 2025PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selectioncited by 61
  5. 2023Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Biascited by 57
  6. 2022Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledgecited by 51
  7. 2023MedBLIP: Bootstrapping Language-Image Pre-training from 3D Medical Images and Textscited by 51
  8. 2022Towards Visual-Prompt Temporal Answering Grounding in Medical Instructional Videocited by 43
  9. 2025SCORE: Story Coherence and Retrieval Enhancement for AI Narrativescited by 42
  10. 2023SELFormer: Molecular Representation Learning via SELFIES Language Modelscited by 40
  11. 2023Pathology-and-genomics Multimodal Transformer for Survival Outcome Predictioncited by 32
  12. 2021More but Correct: Generating Diversified and Entity-revised Medical Responsecited by 31
  13. 2025Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversioncited by 28
  14. 2023A Survey of Multimodal Information Fusion for Smart Healthcare: Mapping the Journey from Data to Wisdomcited by 25
  15. 2024Post-Training Attribute Unlearning in Recommender Systemscited by 24
  16. 2024Pruning Foundation Models for High Accuracy without Retrainingcited by 20
  17. 2025Evaluating Supervised Learning Models for Fraud Detection: A Comparative Study of Classical and Deep Architectures on Imbalanced Transaction Datacited by 20
  18. 2025MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answeringcited by 19
  19. 2025SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognitioncited by 19
  20. 2024ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanismcited by 16
  21. 2025CT-PatchTST: Channel-Time Patch Time-Series Transformer for Long-Term Renewable Energy Forecastingcited by 16
  22. 2023Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systemscited by 15
  23. 2024NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-trainingcited by 15
  24. 2024Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessmentcited by 13
  25. 2024Multimodal Commonsense Knowledge Distillation for Visual Question Answeringcited by 11
  26. 2024A Survey of Medical Vision-and-Language Applications and Their Techniquescited by 11
  27. 2024ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal Networkcited by 10
  28. 2024Rhyme-aware Chinese lyric generator based on GPTcited by 10
  29. 2025RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptationcited by 9
  30. 2024Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Modelcited by 8
  31. 2025Deep Semantic Graph Learning via LLM based Node Enhancementcited by 8
  32. 2025Enhancing Customer Contact Efficiency with Graph Neural Networks in Credit Card Fraud Detection Workflowcited by 8
  33. 2021DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysiscited by 7
  34. 2025Psychological Health Knowledge-Enhanced LLM-based Social Network Crisis Intervention Text Transfer Recognition Methodcited by 7
  35. 2025Research and Design on Intelligent Recognition of Unordered Targets for Robots Based on Reinforcement Learningcited by 6
  36. 2025Research on Personalized Medical Intervention Strategy Generation System based on Group Relative Policy Optimization and Time-Series Data Fusioncited by 6
  37. 2025Image-to-Image Translation with Diffusion Transformers and CLIP-Based Image Conditioningcited by 6
  38. 2017DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classificationcited by 5

50 most cited of 64 All 64 (JSON)

Built on by

Cited by year

Citing papers per year: 2025: 4.

4 papers.

  1. 2025Credit Risk Analysis for SMEs Using Graph Neural Networks in Supply Chaincited by 2
  2. 2025Fatigue-Aware Adaptive Interfaces for Wearable Devices Using Deep Learningcited by 0
  3. 2025Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platformscited by 0
  4. 2025Radial Neighborhood Smoothing Recommender Systemcited by 0