Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
BACKGROUND: Communication during serious illness is often complex, emotionally charged, and cognitiv...
BACKGROUND: Real-time warning and prevention of sports injuries are core challenges in the fields of...
This paper offers a scoping review of extant research examining how generative artificial intelligen...
BACKGROUND: Cardiac rehabilitation is an evidence-based, multidisciplinary intervention integrating ...
The terahertz (THz) frequency spectrum, which enables ultra-high data rates, low-latency communicati...
BACKGROUND: Prostate cancer is one of the most common malignancies in men and exhibits substantial c...
BACKGROUND: Cell-cell communication (CCC) mediated by ligand-receptor (L-R) interactions is fundamen...
Hepatocellular carcinoma (HCC) remains a highly malignant cancer with limited treatment options. HCC...
Reliable and secure transmission of medical images is essential for telemedicine, remote diagnosis, ...
Large language models offer promising opportunities to simplify clinical documentation and improve t...
RATIONALE AND OBJECTIVES: In clinical practice, the preoperative risk assessment of adrenal metastas...
Artificial intelligence prognostic tools are now embedded in routine oncology workflows, generating ...
This scoping review explores how machine learning (ML) has been applied to stroke research within th...
Suicide is currently the leading cause of preventable death among young people, yet early identifica...
We investigated factors associated with the acceptance of communication robots among formal caregive...
The study presents a local large language model pipeline for automated feedback in pediatric simulat...
BACKGROUND: Cancer is a leading cause of death in both the USA and India. During Prime Minister Nare...
BACKGROUND: Human papillomavirus (HPV) vaccine hesitancy remains a significant public health challen...
High frequency vehicle-to-vehicle (V2V) communication in the Internet of Vehicles (IoV) leads to sev...
OBJECTIVES: The objective of this research was to examine the content and context-specific informati...
Image-derived artificial intelligence (AI) risk models have shown promise in short-term risk assessm...