The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …

Automatic radiology reporting has great clinical potential to relieve radiologists from heavy
workloads and improve diagnosis interpretation. Recently, researchers have enhanced data …

The integration of artificial intelligence (AI) in medical image interpretation requires effective
collaboration between clinicians and AI algorithms. Although previous studies demonstrated …

Purpose To investigate if tailoring a transformer-based language model to radiology is
beneficial for radiology natural language processing (NLP) applications. Materials and …

Automatic medical report generation (MRG) is of great research value as it has the potential
to relieve radiologists from the heavy burden of report writing. Despite recent advancements …

Artificial intelligence (AI) models for automatic generation of narrative radiology reports from
images have the potential to enhance efficiency and reduce the workload of radiologists …

Automated radiology report generation has the potential to improve patient care and reduce
the workload of radiologists. However, the path toward real-world adoption has been …

Automated generation of clinically accurate radiology reports can improve patient care.
Previous report generation methods that rely on image captioning models often generate …

In the fast-evolving domain of artificial intelligence, large language models (LLMs) such as
GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law …