This paper examines the role of NLP in these high-stakes environments, highlighting key technologies such as transformers, named entity recognition (NER), and domain-specific transfer learning and addresses the unique challenges NLP faces in these contexts.
A comprehensive review of the evolution of NLP from traditional rule-based approaches to modern transformer models including BERT and GPT demonstrates that NLP continues to transform intelligent systems and is expected to play an increasingly significant role in the development of next-generation AI technologies.
P. Kalaiselvi· International Journal of Eme...· 0 citations
An engineering-oriented, end-to-end roadmap that structures the full lifecycle of clinical language model systems—from model design and domain adaptation to optimization and real-world evaluation is introduced.
Text content is the dominant factor in annotation decisions, far outweighing annotator demographics, and that content-focused SHAP explanations are more effective than demographic persona prompting for guiding LLM annotations, showing that explainability methods can improve both the reliability and the transparency of...
In recent years, natural language processing has become an important tool in healthcare for extracting useful information from unstructured clinical text such as electronic health records, physician notes, and medical literature. Deep learning has significantly improved the performance of NLP systems, enabling stronger...
Madhurima Kommuru, Swathi Thatraju, Appala Nooka Kumar Doodala· International Journal of Mac...· 0 citations
Legal epidemiology — the study of how laws influence health outcomes — is an emerging field with potential to inform policy and improve public health. Shortages of specialists who can commit the extensive time required for these analyses has hindered progress in this area. Features of laws make them ideal candidates fo...
Regen Weber-Fares, F. Cochlin, Snigdha R Peddireddy et al.· Journal of Law, Medicine & E...· 0 citations
A thorough review of the developments in LLM technologies, their uses in clinical and administrative settings, as well as their ethical considerations are reviewed to suggest a conceptual structure for responsible implementation that will ensure both technological innovation and patient safety, as well as regulatory co...
Noah Wright· International Journal of Mod...· 0 citations
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