Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Artificial intelligence (AI) in healthcare holds transformative potential but risks exacerbating exi...
Lymphoma diagnosis remains challenging due to diverse subtypes and nonspecific presentations. While ...
Gender-neutral patient education materials often overlook critical sex-based differences in cardiova...
Diagnosis of asthma in primary care is challenged by a multistep pathway with variable adherence lea...
UK ambulance services face record demand, resourcing challenges and rising clinical documentation bu...
Between 2010 and 2021, fentanyl and stimulants co-involved deaths increased from 0.6% to 32.3% of al...
The course of psychotic disorders typically involves relapses. Early warning signs vary between indi...
Rare events, despite their infrequency, often carry critical information and require immediate att...
Prenatal ultrasound evaluates fetal growth and detects congenital abnormalities during pregnancy, ...
Traditional communication signal detection heavily relies on manually designed features, making it d...
This study presents a convolutional neural network (CNN)-based method for the classification and rec...
Metabolic syndrome (MetS) has a significant impact on health. MetS is the umbrella term for a group...
The rapid development and integration of interconnected healthcare devices and communication network...
Ensuring trustworthiness is fundamental to the development of artificial intelligence (AI) that is...
Federated learning has become a promising solution for collaboration among medical institutions. H...
The recent rise of semantic-style communications includes the development of goal-oriented communi...
In the early stage of an infectious disease outbreak, public health strategies tend to gravitate t...
Advances in imaging technologies have revolutionised the medical imaging and healthcare sectors, l...
Federated graph learning (FGL) has gained significant attention for enabling heterogeneous clients...
This paper proposes a novel federated algorithm that leverages momentum-based variance reduction w...
One of the key goals of artificial intelligence (AI) is the development of a multimodal system tha...