Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 40,891 to 40,900 of 223,737 articles

The role of clinical competency-based education in training in radiation science: A scoping review.

Journal of medical imaging and radiation sciences
BACKGROUND: Clinical competency-based education (CBE) has emerged as a critical strategy to enhance workforce readiness in radiation sciences. Despite its growing adoption, significant gaps persist in standardized curricula, training strategies, and ... read more 

A multi-toxicity deep learning approach for normal tissue complication probability modelling in head and neck cancer patients receiving radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PURPOSE: Toxicities after radiotherapy for head and neck cancer (HNC) often co-occur and share underlying mechanisms, yet most conventional and deep learning (DL) NTCP models predict only a single endpoint. By developing DL NTCP models which can pred... read more 

Uncertainty-aware type-II fuzzy graph modeling of resting-state fMRI uncovers robust sex differences.

Journal of neuroscience methods
BACKGROUND: Resting-state fMRI connectivity is commonly estimated by single-value correlations that ignore run-to-run variability and sampling uncertainty, potentially obscuring subtle group effects such as sex-related differences in network stabilit... read more 

BlotDx: A deep learning tool for Western blot-based diagnostics.

Journal of virological methods
BACKGROUND: Western blot (WB) is the gold standard for herpes simplex virus (HSV-1/HSV-2) serology but requires manual interpretation by trained laboratory personnel, which is time-consuming and variable. This study presents BlotDx, a deep learning t... read more 

The Integration of a Diplomacy Lab in a Registered Nurse to Bachelor of Science in Nursing Research and Informatics Course: A Qualitative Study.

The Journal of nursing education
BACKGROUND: Nursing education requires innovative models to prepare practice-ready nurses with global health competencies and real-world research experience. This qualitative descriptive study examined the implementation and outcomes of integrating a... read more 

Local lateral connectivity is sufficient for replicating cortex-like topographical organization in deep neural networks.

Nature communications
Across the primate cortex, neurons with similar functions tend to cluster spatially, a principle that extends across many species and reflects a common strategy for organizing sensory processing. In the visual cortex, this appears as modular clusters... read more