Background The accumulation of vast electronic medical records (EMRs) through medical
informatization creates significant research value, particularly in obstetrics. Diagnostic …

Clinician must write a lengthy summary each time a patient is discharged from the hospital.
This task is time-consuming due to the sheer number of unique clinical concepts covered in …

The field of healthcare has increasingly turned its focus towards Large Language Models
(LLMs) due to their remarkable performance. However, their performance in actual clinical …

Large Language Models (LLMs) have shown the potential to significantly contribute to
patient care, diagnostics, and administrative processes. Emerging biomedical LLMs address …

This paper investigates the feasibility of using pre-trained generative Large Language
Models (LLMs) to automate the assignment of ICD-10 codes to historical causes of death …

Background: Assignment of International Classification of Disease (ICD) codes to clinical
documentation is a tedious but important task that is mostly done manually. This study …

This thesis assesses the impact of fine-tuning and rag on llms in accurately assigning icd-10
codes to historical causes of death. Using funeral records from Trondheim, Norway (1830 …

Aggregating resources from diverse data repositories often results in an incomplete
aggregation despite curation efforts in the digital library space. To address this challenge, in …