Open Access
| Issue |
ITM Web Conf.
Volume 87, 2026
2nd International Conference on Computing Paradigms (ICCP-2026)
|
|
|---|---|---|
| Article Number | 01018 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/itmconf/20268701018 | |
| Published online | 30 June 2026 | |
- R. Rajpurkar et al., “CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning,” IEEE Transactions on Medical Imaging, vol. 37, no. 5, pp. 1100–1111, 2018. [Google Scholar]
- J. Devlin, M. Chang, K. Lee, and K. Toutanova, “BERT: Pretraining of Deep Bidirectional Transformers for Language Understanding,” Proceedings of NAACL-HLT, pp. 4171–4186, 2019. [Google Scholar]
- A. Smith et al., “OCR-Based Medical Document Digitization Using Deep Learning,” International Journal of Medical Informatics, vol. 141, p. 104234, 2020. [Google Scholar]
- J. Lee et al., “BioBERT: A Pre-trained Biomedical Language Representation Model for Biomedical Text Mining,” Bioinformatics, vol. 36, no. 4, pp. 1234–1240, 2020. [Google Scholar]
- E. Johnson and R. Gupta, “Cloud-Based Secure Storage and Retrieval of Electronic Health Records,” Journal of Healthcare Informatics Research, vol. 5, no. 2, pp. 210–225, 2021. [Google Scholar]
- P. Lewis et al., “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks,” Advances in Neural Information Processing Systems, vol. 33, pp. 9459–9474, 2020. [Google Scholar]
- S. Minaee et al., “Deep Learning-Based Document Classification: A Survey,” ACM Computing Surveys, vol. 54, no. 3, pp. 1–40, 2021. [Google Scholar]
- Y. Zhang et al., “Semantic Search for Medical Records Using Vector Embeddings,” IEEE Access, vol. 9, pp. 135498–135509, 2021. [Google Scholar]
- T. Brown et al., “Language Models are Few-Shot Learners,” Advances in Neural Information Processing Systems, vol. 33, pp. 1877–1901, 2020. [Google Scholar]
- X. Wang et al., “Long-Context Retrieval-Augmented Generation for Clinical Text Processing,” Proceedings of Machine Learning for Healthcare, 2022. [Google Scholar]
- R. Sharma et al., “Semantic Search-Based Question Answering in Biomedicine Using RAG,” Journal of Biomedical Informatics, vol. 130, 2022. [Google Scholar]
- K. Reddy et al., “Clinical Entity Extraction Using Transformer-Based NLP Models,” IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 4, pp. 1502–1510, 2022. [Google Scholar]
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