Latest AI and machine learning research in information technology for healthcare professionals.
Routinely collected electronic health records (EHRs) contain rich longitudinal information that enab...
Accurate risk stratification in heart failure (HF) is crucial to guide clinical decisions, optimise ...
Preterm birth is a syndrome that is triggered by diverse biological pathways and presents with many ...
Pancreatic cancer (PANC) is often diagnosed at late stages due to the absence of specific early symp...
Dementia encompasses diverse clinical syndromes where diseases of the brain can manifest as impaired...
Artificial intelligence (AI) in healthcare holds transformative potential but risks exacerbating exi...
Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. However, RA dis...
Postpartum depression (PPD) affects 10–15% of mothers annually, yet early identification remains cha...
Electronic health records (EHRs) contain valuable information for clinical research and decision-mak...
Ambient artificial intelligence (AI) clinical documentation tools have gained rapid adoption in heal...
The convergence of the COVID-19 pandemic and the substance use disorder (SUD) crisis has created a s...
Electronic health record (EHR) data often missed care outside a given health system, resulting in da...
Obesity is a chronic, heterogeneous condition, with risks, trajectories, and treatment responses tha...
Electronic health record (EHR) foundation models (FMs) have improved clinical task performance by le...
As part of routine practice and documentation, emergency department (ED) clinicians routinely constr...
There is need to detect and intervene in pre-clinical phases of Alzheimer’s disease (AD). Electronic...
Heart failure (HF), including heart failure with preserved ejection fraction (HFpEF) and heart failu...
Clinical narratives in electronic health records (EHRs) contain essential diagnostic, therapeutic, a...
Living with multiple long-term conditions (MLTC) profoundly impacts patients’ lives, affecting not o...
Cancer remains one of the most significant global health challenges. De-spite advances in treatment,...
To evaluate the performance of a large language model (LLM) in identifying medication non-adherence,...