Results 151 to 160 of about 18,956 (305)
A Unified Deep Learning Framework for Instance Segmentation Across Diverse Cytological Stains
Transformer‐based unified cytology segmentation across Papanicolaou, Feulgen and AgNOR achieves stain‐invariant performance. Mask2Former maximises boundary precision (AP75) on the combined dataset, enabling one model to replace multiple stain‐specific deployments without accuracy loss while simplifying clinical integration.
Luís Otávio Santos +6 more
wiley +1 more source
Transforming joint replacement with open robotics: A call for change! [PDF]
Bagaria V, Vaishya R.
europepmc +1 more source
The relationship between Magnet® hospitals and nurse-driven patient outcomes
Purpose: Magnet® hospitals were established as a standardized program in 1990 by the American Nurses Credentialing Center to allow hospitals to be designated as excellent places for nurses to practice.
Joseph, Amelia M.
core
Summary Background and objectives Chronic pruritus (CP) significantly impairs quality of life (QoL), but existing patient‐reported QoL tools are either not specific for CP or are very extensive. Patients and methods The 5‐item pruritus life quality (5PLQ, range: 5–25, 7‐day recall) was developed to assess key itch‐related QoL domains (sensory symptoms,
Claudia Zeidler +14 more
wiley +1 more source
Evaluating open-source LLMs for dental EMR generation. [PDF]
Wang H +11 more
europepmc +1 more source
Reframing Justice in Healthcare AI: An Ubuntu‐Based Approach for Africa
ABSTRACT There is an ongoing debate on how to balance the benefits and risks of artificial intelligence (AI), especially in healthcare. In resource‐constrained settings, such as Africa, where access to quality care remains a challenge, AI has the potential to improve efficiency, accessibility, and patient outcomes.
Aloysius Ochasi +3 more
wiley +1 more source
Beyond regulation: why Europe must lead AI stewardship in health. [PDF]
Saba L, Marino IR.
europepmc +1 more source
Machine learning approaches in automated infant General Movements Assessment: A scoping review
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur +4 more
wiley +1 more source
How green are large language models for radiology report labelling? Comparing human, rule-based and hybrid workflows. [PDF]
Fink MA +10 more
europepmc +1 more source
A personal computer program in BASIC for the two-factor factorial analysis of variance has been developed. The factorial design is based on and combined with previous one-way and two-way ANOVA programs.
al-Khamis KI., Abdullah ME
core

