ChestXRayBERT: A Pretrained Language Model for Chest Radiology Report Summarization

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Generative Large Language Models Trained for Detecting Errors in Radiology Reports

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Patient Information Summarization in Clinical Settings: Scoping Review

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Describe like a pathologist: Glomerular immunofluorescence image caption based on hierarchical feature fusion attention network

Liu, H., Peng, L., Xie, Y., Li, X., Bi, D., Zou, Y., Lin, Y., Zhang, P., & Li, G. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.119168 · Cited by 8 · see citing works

ChatGPT based contrastive learning for radiology report summarization

Luo, Z., Jiang, Z., Wang, M., Cai, X., Gao, D., & Yang, L. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.125827 · Cited by 10 · see citing works

Patient Centric Summarization of Radiology Findings using Large Language ModelsPreprint

Tariq, A., Fathizadeh, S., Ramaswamy, G., Trivedi, S., Urooj, A., Tan, N., Stib, M. T., Patel, B. N., & Banerjee, I. (2024) · medRxiv · doi:10.1101/2024.02.01.24302145 · Cited by 7 · see citing works

Patient-centric Summarization of Radiology Findings Using Two-step Training of Large Language Models

Tariq, A., Trivedi, S., Khan, A. U., Ramasamy, G., Fathizadeh, S., Stib, M. T., Tan, N., Patel, B. N., & Banerjee, I. (2024) · ACM Transactions on Computing for Healthcare · doi:10.1145/3709154 · Cited by 8 · see citing works

A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future DirectionsPreprint

Alkalbani, A. M., Alrawahi, A. S., Salah, A., Haghighi, V., Zhang, Y., Alkindi, S. S. A., & Sheng, Q. Z. (2025) · Research Square · doi:10.21203/rs.3.rs-5128451/v2 · Cited by 6 · see citing works

SGIR: Star Graph-Based Interaction for Efficient and Robust Multimodal Representation

Ding, Z., Lan, G., Song, Y., & Yang, Z. (2023) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2023.3321404 · Cited by 5 · see citing works

Multi-Space Point Geometry Compression With Progressive Relation-Aware Transformer

Shen, W., Zhang, B., Xu, H., Li, X., & Wu, J. H. (2024) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2024.3384057 · Cited by 5 · see citing works

Experience-guided multi-agent interpretable framework for radiology report summarization

Li, J., Zhou, T., Zhou, Z., Wei, X., Song, H., Wang, Z., Chen, Y., & Lv, H. (2026) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2025.109078 · Cited by 4 · see citing works

High-Performance Prompting for LLM Extraction of Compression Fracture Findings from Radiology Reports

Kanani, M. M., Monawer, A. H., Brown, L., King, W. E., Miller, Z. D., Venugopal, N., Heagerty, P. J., Jarvik, J. G., Cohen, T., & Cross, N. M. (2025) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-025-01530-6 · Cited by 4 · see citing works

Machine Learning–Enabled Digital Twins for Diagnostic and Therapeutic Purposes

Shah, N., Nagar, J., Desai, K., Bhatt, N., Bhatt, N., & Mewada, H. K. (2024) · Wiley eBooks · doi:10.1002/9781394287420.ch5 · Cited by 4 · see citing works

M3Rec: Cross-Modal Context Enhanced Micro-Video Recommendation with Mutual Information Maximization

Du, Q., Yu, L., Li, H., Ou, N., Gong, X., & Xiang, J. (2022) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme52920.2022.9859663 · Cited by 4 · see citing works

RadChat: A Radiology Chatbot Incorporating Clinical Context for Radiological Reports Summarization

Mei, X., Yang, L., Gao, D., Cai, X., Liu, T., & Han, J. (2024) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm62325.2024.10822010 · Cited by 3 · see citing works

Chatgpt Based Contrastive Learning for Radiology Report SummarizationPreprint

Jiang, Z., Wang, M., Cai, X., Gao, D., & Yang, L. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4485806 · Cited by 3 · see citing works

Toward Explainable Cross-Lingual Adaptive NAS for Enhanced Tamil Medical Text Summarization

Prakash, J., V, Vijay, S. A. A., & Gopikrishnan, S. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3618959 · Cited by 2 · see citing works

GCFI-Net: Global-Local Cross-Spatial-Channel Feature Interaction Network for Point Cloud Geometry Compression

Wang, X., Zhang, Y., Liu, X., Xu, K., Wan, J., Guo, Y., & Wang, H. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3590775 · Cited by 2 · see citing works

The Future of Medicine: Large Language Models Redefining Healthcare DynamicsPreprint

Haque, A., Chowdhury, M. N.-U.-R., & Neha, F. F. (2023) · doi:10.36227/techrxiv.24354451.v1 · Cited by 2 · see citing works

The Future of Medicine: Large Language Models Redefining Healthcare DynamicsPreprint

Haque, A., Chowdhury, M. N.-U.-R., & Neha, F. F. (2023) · doi:10.36227/techrxiv.24354451.v2 · Cited by 2 · see citing works

Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis

Trienes, J., Youssef, P., Schlötterer, J., & Seifert, C. (2023) · International Conference on Natural Language Generation · doi:10.18653/v1/2023.inlg-main.13 · Cited by 2 · see citing works

ChatGPT and BERT: Comparative Analysis of Various Natural Language Processing Applications

Saranya, M., & Amutha, B. (2025) · Springer eBooks · doi:10.1007/978-981-96-2355-6_2 · Cited by 1 · see citing works

Multi-head divide-and-conquer residual-attention mechanism with pointer network for multimodal question summarization in healthcare

Manonmani, S. P., & Malathi, S. (2025) · Information Processing & Management · doi:10.1016/j.ipm.2025.104348 · Cited by 1 · see citing works

Dynamic Prompt Compression for Efficient Inference of Large Language Models

Hu, J., Zhang, W., Wang, Y., Hu, Y., Xiao, B., Tan, M., & Du, Q. (2026) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2026.3669558 · Cited by 4 · see citing works

Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models

Yilmaz, M., Öztürk, Ş., Kara, M., Yavuz, M. T., Gümeler, E., Koç, A., & Çukur, T. (2026) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2026.3678306 · Cited by 2 · see citing works

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification

Bhattacharjee, P., Tian, F., Rubin, G. D., Lo, J. Y.-C., Merchant, N. C., Hanson, H. A., Gounley, J. P., & Tandon, R. (2026) · IEEE Access · doi:10.1109/access.2026.3679277 · Cited by 2 · see citing works

Generation of Clinical Discharge Summary for Cardiovascular Patients: A Comparative Study of Transformer-Based LLMs

Varsha, Zahedi, M., & Kandar, S. (2026) · International Conference on Computing, Electronics & Communications Engineering (iCCECE) · doi:10.1109/iccece69715.2026.11493028 · Cited by 1 · see citing works

Medical Transformer With Mix Mask Generation for Thorax Disease Classification

Liu, Z., Wang, Z., & Du, B. (2025) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2025.3543003 · Cited by 1 · see citing works

A Systematic Review of Large Language Models in Medical Specialties: Applications, Challenges and Future DirectionsPreprint

Alkalbani, A. M., Alrawahi, A. S., Salah, A., Haghighi, V., Zhang, Y., Alkindi, S. S. A., & Sheng, Q. Z. (2024) · Research Square · doi:10.21203/rs.3.rs-5128451/v1 · Cited by 1 · see citing works

The Future of Medicine: Large Language Models Redefining Healthcare DynamicsPreprint

Haque, A., & Chowdhury, M. N.-U.-R. (2023) · doi:10.36227/techrxiv.24354451

Biomedical Text Summarization for Medical Insights

Neha Shree, N., & Jothish Kumar, M. (2025) · International Conference on Trends in Electronics and Informatics (ICOEI) · doi:10.1109/icoei65986.2025.11013743

Joint attention GAN for medical report generation with clinical style preservation

Tang, Z., Liu, X., Bie, J., Xu, L., & Xu, B. (2025) · Scientific Reports · doi:10.1038/s41598-025-28181-5

Textual Medical History Summarization for Diagnosis

Deepika, R., & S., P. K. T. (2025) · Innovations in Power and Advanced Computing Technologies (i-PACT) · doi:10.1109/i-pact65952.2025.11307960

Hybrid Deep Learning-Based Summarization of Social Media Content Using NLP Techniques

Kumar, C. P., Praveen, V. V., Kaveya, M., Arthi, R., & Jegathesh, P. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-95-2872-1_20

An assistive framework for visually impaired using deep learning and natural language processing

Maheswari, V. U., Aluvalu, R., Dhanaraj, R. K., Al-Khasawneh, M. A., Manoharan, H., & Selvarajan, S. (2026) · International Journal of Speech Technology · doi:10.1007/s10772-026-10281-w · Cited by 3 · see citing works

Automated Group Allocation and Report Summarization Using NLP: A Review

Lakhanpal, A., Umang, Yadav, A., Tiwari, S., & Jhingran, S. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-30957-0_25

Automatically Generate Impression From Findings In Radiology Report Using BERT

Reang, R., Dehalwar, V., & Pateriya, R. K. (2024) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt61001.2024.10724981

Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder

Jiang, Z., Cai, X., Yang, L., Gao, D., Zhao, W., Han, J., Liu, J., Shen, D. G., & Liu, T. (2023) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2023.3280987 · Cited by 14 · see citing works

XrayGPT: Chest Radiographs Summarization using Medical Vision-Language ModelsPreprint

Thawakar, O., Shaker, A., Mullappilly, S. S., Cholakkal, H., Anwer, R. M., Khan, S., Laaksonen, J. T., & Khan, F. S. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2306.07971 · Cited by 40 · see citing works

Leveraging summary of radiology reports with transformers

de Padua, R. S., & Qureshi, I. (2024) · Artificial Intelligence in Health · doi:10.36922/aih.3846 · Cited by 1 · see citing works

Comparative Analysis of Abstractive Summarization Models for Clinical Radiology Reports

Bhattacharya, A., Rehman, T., Sanyal, D. K., & Chattopadhyay, S. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-17181-8_7 · Cited by 1 · see citing works