Abstract With Artificial Intelligence (AI) increasingly permeating various aspects of society,
including healthcare, the adoption of the Transformers neural network architecture is rapidly …

With Artificial Intelligence (AI) increasingly permeating various aspects of society, including
healthcare, the adoption of the Transformers neural network architecture is rapidly changing …

Abstract Large Language Models (LLMs) such as General Pretrained Transformer (GPT)
and Bidirectional Encoder Representations from Transformers (BERT), which use …

Transformer models have been successfully applied to various natural language processing
and machine translation tasks in recent years, eg automatic language understanding. With …

Background Transformer is an attention-based architecture proven the state-of-the-art model
in natural language processing (NLP). To reduce the difficulty of beginning to use …

Abstract Natural Language Processing (NLP) can help unlock the vast troves of unstructured
data in clinical text and thus improve healthcare research. However, a big barrier to …

Objective To develop a large pretrained clinical language model from scratch using
transformer architecture; systematically examine how transformer models of different sizes …

Abstract The introduction of Bidirectional Encoder Representations from Transformers
(BERT) was a major breakthrough for transfer learning in natural language processing …

Large language models and generative artificial intelligence (GAI) have recently
demonstrated significant promise for revolutionizing a range of industries, including …

Efficiently treating cardiac patients before the onset of a heart attack relies on the precise
prediction of heart disease. Identifying and detecting the risk factors for heart disease such …