Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of t...
Background: Hospital readmission is a common and costly outcome in patients with chronic obstructive...
Continuous video and clinical records provide complementary information for understanding how patien...
Background: Many radiology decisions, such as whether a report describes a finding or how urgently a...
Background: Recent work has brought large language models (LLMs) into clinical variant interpretatio...
Medication recommendation requires jointly considering diagnoses, comorbidities, longitudinal patien...
Background Patients with normal perfusion, normal myocardial flow reserve (MFR) and no coronary arte...
Background: Relapsing-remitting multiple sclerosis (RRMS) often progresses to secondary-progressive ...
Background: Machine Learning (ML) has shown promise in histopathological diagnosis, but rare tumours...
Background: More than 90% of rare diseases lack an approved therapy, partly reflecting economic barr...
Background: Accurate patient understanding of lung cancer screening (LCS) results is critical for en...
Lines, drains, and airway devices are commonly used in surgical and inpatient care to support treatm...
Biomedical language models (LMs) encode textual semantics but do not explicitly preserve medical cod...
Clinical measurements are recorded for some patients but not others, at rates that differ across hos...
Background: Much of the symptom burden in colorectal cancer (CRC) patients is documented in unstruct...
In mental health care, reasoning over patient journeys is a key task for clinicians. Yet these journ...
Background: Prior research on symptom clusters (SCs) in colorectal cancer (CRC) has relied primarily...
Background: Molecular testing for NPM1 and FLT3-ITD mutations guides critical early treatment decisi...
Federated learning (FL) in healthcare faces pronounced heterogeneity and temporal concept drift acro...
An image tool can change its underlying generator while retaining its public name, making version at...
Recent approaches to 30-day hospital readmission prediction rely on pre-trained language models appl...