Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Cardiogenic shock (CS) is a severe and frequent complication of acute myocardial infarction (AMI), n...
Unplanned cancer readmissions present a significant burden on patients and hospitals. Current predic...
Emergency Department (ED) overcrowding, often exacerbated by prolonged patient length of stay (LOS),...
Hospital readmissions represent a persistent challenge for healthcare systems, often stemming from i...
Prognostication in patient with out-of-hospital cardiac arrest (OHCA) underwent extracorporeal cardi...
Accurately distinguishing between epileptic seizures (ES) and nonepileptic seizures (NES) is a signi...
Timely admission to the emergency department is a crucial determinant of patient outcomes. Conversel...
Non-contrast CT head scans (NCCTH) are the most frequently requested cross-sectional imaging in the ...
Artificial intelligence (AI) applied to routine electrocardiograms (ECGs) offers promise for screeni...
Sepsis remains a major cause of preventable pediatric hospital deaths in developing countries, with ...
Large language models (LLMs) have been investigated for clinical documentation, with concerns about ...
Frailty and multimorbidity are common in older adults and contribute substantially to prolonged hosp...
Manual inpatient screening for substance misuse is labor-intensive and inconsistently applied. Evalu...
Dementia encompasses diverse clinical syndromes where diseases of the brain can manifest as impaired...
Psychotropic medications are commonly used for children with neurodevelopmental conditions, but thei...
Timely intensive rehabilitation is crucial to contrast the negative escalation of events that follow...
Chronic Kidney Disease (CKD) is a progressive condition requiring evidence-based management, but adh...
Large language models can help with clinical decision-making tasks. Complex oncology cases are best ...
Recent advances in deep learning have enabled the integration of heterogeneous data modalities for c...
MAX-EVAL-11 is constructed by converting MIMIC-III discharge summaries from ICD-9 to ICD-11 codes th...
The scientific literature on artificial intelligence-enabled electrocardiography (AI-ECG) has define...