Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The use of Artificial Intelligence (AI) in healthcare has shown a lot of promise in helping medical professionals with diagnostics and treatment planning. This paper introduces an NLP-based Clinical Decision Support System that uses deep learning models for analyzing various medical data and natural language processing for summarization. The system combines three image-based neural networks for ECG, X-ray, and retinal images with a Named Entity Recognition (NER) pipeline and a large language model (LLM). The results include identified diseases, possible causes, and suggested remedies, all presented in a clear summary to support healthcare professionals. The project shows how AI can improve accessibility and efficiency in medical diagnostics while also pointing out challenges and areas that need improvement.
Keywords:
Clinical decision support, Deep learning, Natural language processing, Medical AI, Named Entity Recognition,Transformers
Cite Article:
"NLP-Based Clinical Decision Support System using Deep Learning and Transformer ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a694-a696, December-2025, Available :http://www.ijrti.org/papers/IJRTI2509079.pdf
Downloads:
000219
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator