Latest AI and machine learning research in information technology for healthcare professionals.
Neurologists in ambulatory settings struggle with low appointment availability and increased work re...
OBJECTIVE: To determine if hyperinflammatory and hypoinflammatory pediatric acute respiratory distre...
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patie...
Predicting post-Percutaneous Coronary Intervention (PCI) outcomes is crucial for effective patient m...
Diagnosis prediction predicts which diseases a patient is most likely to suffer from in the future b...
This paper presents a comprehensive systematic review of generative models (GANs, VAEs, DMs, and LLM...
Artificial intelligence (AI) can rapidly analyse large and complex datasets, extract tailored recomm...
Entity and relation extraction from Chinese electronic medical records (EMRs) is a crucial foundatio...
The integration of Artificial Intelligence (AI) with the Internet of Medical Things (IoMT) has revol...
Dementia rates are projected to increase significantly by 2050, posing considerable challenges for h...
The integration of diverse clinical modalities such as medical imaging and the tabular data extracte...
BACKGROUND: Early identification of bipolar disorder (BD) provides an important opportunity for time...
BACKGROUND: Identifying key variables is essential for developing clinical outcome prediction models...
The rapid evolution of telemedicine has revealed significant documentation and workflow challenges. ...
AIMS: Mortality risk after hospitalization for heart failure (HF) is high, especially in the first 9...
Natural Language Processing (NLP) has the potential to revolutionise clinical research utilising Ele...
Acute respiratory distress syndrome (ARDS) is a severe organ dysfunction associated with significant...
Although rare diseases (RDs) affect over 260 million individuals worldwide, low data quality and sca...
BACKGROUND: Lack of widespread use of the Patient Health Questionnaire 9-item (PHQ-9) in clinical pr...
BACKGROUND: There is no effective way to accurately predict paroxysmal and persistent atrial fibrill...
The sophistication of cyberthreats demands more efficient and intelligent tools to support Security ...