The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-
4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with …

Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused …

Abstract Background: Natural Language Processing (NLP) is widely used to extract clinical
insights from Electronic Health Records (EHRs). However, the lack of annotated data …

Interventional pharmacology is one of medicine's most potent weapons against disease.
These drugs, however, can result in damaging side effects and must be closely monitored …

Objective The goal of this study is to explore transformer-based models (eg, Bidirectional
Encoder Representations from Transformers [BERT]) for clinical concept extraction and …

Importance Although randomized clinical trials are considered to be the criterion standard
for generating clinical evidence, the use of real-world evidence to evaluate the efficacy and …

Although sciences and technology have progressed rapidly, de novo drug development has
been a costly and time-consuming process over the past decades. In view of these …

Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

This article reviews recent advances in applying natural language processing (NLP) to
Electronic Health Records (EHRs) for computational phenotyping. NLP-based …

With the growth of data and intelligent technologies, the healthcare sector opened numerous
technology that enabled services for patients, clinicians, and researchers. One major hurdle …