Latest AI and machine learning research in practice management for healthcare professionals.
Large language models (LLMs) have shown potential in biomedical applications, leading to efforts t...
Given the conference's focus on innovative healthcare solutions, our investigation into robotic assi...
Annotated language resources derived from clinical routine documentation form an intriguing asset fo...
Ontologies play a key role in representing and structuring domain knowledge. In the biomedical domai...
Coding according to the International Classification of Diseases (ICD)-10 and its clinical modificat...
Recent advancements in high-throughput sequencing technologies have significantly enhanced our abili...
Nurses continue to face challenges in leading health information technology innovations such as Arti...
Community-based palliative care is a useful, but underutilized service to support seriously ill olde...
Diversity is a concept of prime importance in almost all disciplines based on information processi...
The proliferation of high resolution videos posts great storage and bandwidth pressure on cloud vi...
BACKGROUND: Recording and coding of ageing syndromes in hospital records is known to be suboptimal. ...
Despite the widespread development of ontologies in many domains of healthcare, the field of colorec...
With the rapid growth of multimedia data volume, there is an increasing need for efficient video t...
The development of existing facial coding systems, such as the Facial Action Coding System (FACS),...
The Genomic Foundation Model (GFM) paradigm is expected to facilitate the extraction of generaliza...
Clinical variant classification of pathogenic versus benign genetic variants remains a challenge i...
Inconsistent disease coding standards in medicine create hurdles in data exchange and analysis. This...
High-throughput DNA sequencing technologies decode tremendous amounts of microbial protein-coding ge...
Natural language processing is an exciting and emerging field in health care that can transform the ...
Objective To screen out the biomarkers linked to prognosis of breast invasive carcinoma based on the...
Large language models based on self-attention mechanisms have achieved astonishing performances, not...