Latest AI and machine learning research in risk management for healthcare professionals.
Posttraumatic stress disorder (PTSD) is a prevalent and debilitating mental health condition with si...
Automated pavement distress assessment requires more than image-level classification or coarse bound...
Pressure injuries represent a significant healthcare challenge requiring early detection to prevent ...
Background: With growing impetus to integrate artificial intelligence (AI) tools into radiology, cli...
Background Community-wide active case-finding (ACF) is being increasingly implemented as a tuberculo...
Long-horizon clinical simulation -- predicting how a patient's physiology evolves over years under s...
CLIP-style contrastive pretraining typically curates web-scale image-text pairs using sample-level f...
Test-time adaptation (TTA) has recently emerged as a promising approach for improving time series fo...
Querying the RDF Portal knowledge graph maintained by DBCLS, which aggregates approximately 60 life-...
Glioblastoma multiforme (GBM) is characterised by profound genomic heterogeneity and heavy-tailed ge...
Industrial visual inspection systems increasingly rely on deep classifiers whose heatmap explanation...
Modern image super-resolution methods generate detailed, visually appealing results, but they often ...
Clinical check-up reports are multimodal documents that combine page layouts, tables, numerical biom...
Machine-learning predictors of biochemical activity often exhibit large random-split-to-leave-one-ta...
Foundation diffusion models can generate photorealistic natural images, but adapting them to medical...
Quantitative cardiac magnetic resonance imaging (MRI) enables non-invasive myocardial tissue charact...
Objective: To describe the ophthalmic examination protocol within the German National Cohort (NAKO) ...
Aim: Exercise capacity is a powerful predictor of cardiovascular risk. In patients unable to exercis...
This methods article presents a reproducible calibration workflow for prompt-based large language mo...
Evaluation protocols for learned intrinsic image decomposition on MPI Sintel have been inconsistent....
Artificial intelligence has advanced from analyzing experimental data to autonomously generating hyp...