Artificial Intelligence Medical Compendium

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

Showing 41,081 to 41,090 of 223,737 articles

Risk-prediction models for postpartum depression: Assessment of risk of bias using PROBAST+AI.

Midwifery
OBJECTIVE: The postpartum depression (PPD) risk prediction model is an effective risk stratification tool and is expected to play a significant role in the early detection and intervention of PPD. This study aims to summarize the existing evidence on... read more 

Discrimination of vascular proliferation in eyelid surgery using multimodal hyperspectral imaging technology.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Vascular proliferation is a common skin reaction following eyelid surgery, and early diagnosis is crucial for improving treatment outcomes. This study proposes a multimodal framework for the diagnosis of vascular proliferati... read more 

Transforming Care: Nursing Research, EBP, and Innovation: Celebrating the 10-Year Anniversary of the Kaiser Permanente Scholars Academy.

Nursing administration quarterly
Kaiser Permanente Northern California (KPNCAL) has a long-standing commitment to advancing nursing excellence through workforce development, professional education, and the integration of Caring Science and Unitary Nursing frameworks. Building on thi... read more 

You Can't Sit on the Lid of Progress: Human Dignity, Ethical Leadership, and the Future of Professional Nursing.

Nursing administration quarterly
Nursing stands at a critical inflection point-shaped by global complexity, rapid technological change, and the enduring moral commitment to human caring. This article explores contemporary challenges faced by the profession, including organizational ... read more 

WARGM-PDPG: A dual-phase policy gradient graph mamba neural network for device placement algorithms.

Neural networks : the official journal of the International Neural Network Society
As neural networks continue to scale in size and complexity, the computational capabilities of individual devices have become increasingly constrained, necessitating the development of efficient parallel training strategies. This challenge is particu... read more 

Task-adaptive sparse graph structure learning with error-edge pruning and anti-smoothing mechanism.

Neural networks : the official journal of the International Neural Network Society
Graph Structure Learning (GSL) optimizes graph topologies to enhance node representations. This study reveals a critical limitation: while GSL excels in node-invariant tasks where graph structure remains static, it consistently underperforms in node-... read more 

An efficient wavelet-based physics-informed neural network for multiscale problems.

Neural networks : the official journal of the International Neural Network Society
Physics-informed neural networks (PINNs) are a class of deep learning models that utilize physics in the form of differential equations to address complex problems, including those that may involve limited data availability. However, solving differen... read more 

Artificial intelligence-enhanced virtual reality for pathology education.

Annals of diagnostic pathology
The implementation of innovative active learning pedagogies in education enhances students' engagement and information retention compared to traditional passive learning. An immersive virtual environment, operated through head-mounted displays or hea... read more 

dMMR prediction from colorectal cancer histopathology: Leveraging non-tumor and low-magnification regions.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Colorectal cancer is the second leading cause of cancer-related mortality worldwide, posing a substantial burden on healthcare systems. Identifying DNA mismatch repair deficiency (dMMR) is critical for guiding treatment, yet... read more