Clinical coding is the task of transforming medical information in a patient's health records
into structured codes so that they can be used for statistical analysis. This is a cognitive and …

Medical coding is the task of assigning medical codes to clinical free-text documentation.
Healthcare professionals manually assign such codes to track patient diagnoses and …

Automatic International Classification of Diseases (ICD) coding aims to assign multiple ICD
codes to a medical note with average length of 3,000+ tokens. This task is challenging due …

Clinical trials are essential for medical research, but they often face challenges in matching
patients to trials and planning. Large language models (LLMs) offer a promising solution …

Objectives The aim of this study was to investigate GPT-3.5 in generating and coding
medical documents with International Classification of Diseases (ICD)-10 codes for data …

The integration of Large Language Models (LLMs) into the drug discovery and development
field marks a significant paradigm shift, offering novel methodologies for understanding …

Automated ICD coding is a multi-label prediction task aiming at assigning patient diagnoses
with the most relevant subsets of disease codes. In the deep learning regime, recent works …

The advancement of natural language processing (NLP) systems in healthcare hinges on
language model ability to interpret the intricate information contained within clinical notes …

The term life sciences refers to the disciplines that study living organisms and life processes,
and include chemistry, biology, medicine, and a range of other related disciplines. Research …

Deep neural networks (DNN) have fundamentally revolutionized the artificial intelligence
(AI) field. The transformer model is a type of DNN that was originally used for the natural …