Latest AI and machine learning research in information technology for healthcare professionals.
Predicting post-Percutaneous Coronary Intervention (PCI) outcomes is crucial for effective patient m...
OBJECTIVE: Suicide risk assessment has historically relied heavily on clinical evaluations and patie...
Diagnosis prediction predicts which diseases a patient is most likely to suffer from in the future b...
Artificial intelligence (AI) can rapidly analyse large and complex datasets, extract tailored recomm...
The integration of Artificial Intelligence (AI) with the Internet of Medical Things (IoMT) has revol...
Entity and relation extraction from Chinese electronic medical records (EMRs) is a crucial foundatio...
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: Identifying key variables is essential for developing clinical outcome prediction models...
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...
Heart failure is a leading cause of premature death, especially among individuals with a sedentary l...
The sophistication of cyberthreats demands more efficient and intelligent tools to support Security ...
OBJECTIVE: The healthcare landscape is experiencing a transformation with the integration of Artific...
INTRODUCTION: Unsupervised feature learning methods inspired by natural language processing (NLP) mo...
OBJECTIVE: For studies using real-world data, accurately identifying patients with phenotypes of int...
Anomaly detection is crucial in areas such as financial fraud identification, cybersecurity defense,...
BACKGROUND: Depression and anxiety are prevalent mental health conditions among individuals with typ...