Latest AI and machine learning research in medicolegal for healthcare professionals.
Biological collections house millions of specimens documenting Earth's biodiversity, with digital ...
This study aims to describe implementing a SNOMED CT-coded health problem (HP) list at Hospital ClÃn...
Due to the legal and ethical responsibilities of healthcare providers (HCPs) for accurate document...
The accumulation of heavy metal(loid)s (HMs) in the soils of urban parks in industrial cities has ra...
The detection of small extracellular vesicles (sEVs) is currently a pivotal liquid biopsy approach f...
Large Language Models (LLMs) are increasingly integrated into critical systems in industries like ...
Foundation models have shown remarkable success across scientific domains, yet their impact in che...
Palliative care is known to improve quality of life in advanced cancer. Natural language processing ...
Automating Electronic Health Records (EHR) documentation can significantly reduce the burden on care...
In medical practices across the United States, physicians have begun implementing generative artif...
There are now a multitude of AI-scribing solutions for healthcare promising the utilization of lar...
In 2019, Chi Mei Hospital built a private cloud AI service framework, incorporating HIS interface we...
Demand for nursing care will intensify in the coming decades based on demographics, chronic diseases...
Since its introduction, federated learning (FL) has attracted a lot of attention in the medical fiel...
Artificial Intelligence (AI) has significantly advanced clinical decision support systems in healthc...
The choice of the optimal printing setup for Fused Deposition Modeling (FDM) 3D-printing technology ...
Low-technology characterization of material surfaces poses a challenge of significant importance for...
In cardiovascular research, electromagnetic fields (EMFs) induced by Riga plates are applied to stud...
Microwave thermochemotherapy (MTC) has been applied to treat lip squamous cell carcinoma (LSCC), but...
BACKGROUND: Artificial intelligence (AI) has the potential to revolutionize clinical decision-making...
To better integrate into processes like rapid adaptive planning and quality assurance, this study ai...