Artificial Intelligence Medical Compendium

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

Showing 38,521 to 38,530 of 223,469 articles

PSMEKL: Positional and structural multiple empirical kernel learning for node embedding.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2026
Graph Neural Networks (GNNs) are powerful for processing graph-structured data, where nodes are linked through edges. Generally, incorporating positional and structural information into node embeddings can capture distribution characteristics of node... read more 

VLDUS: Vision-language distillated unseen synthesizer for zero-shot object detection.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2026
Generative methods have shown promising performance on zero-shot object detection (ZSD) by synthesizing visual features of unseen classes from semantic embeddings. Although largely compensating for the lack of training samples, they learn the feature... read more 

DDS-UDA: Dual-domain synergy for unsupervised domain adaptation in joint segmentation of optic disc and optic cup.

Medical image analysis Mar 25, 2026
Convolutional neural networks (CNNs) have achieved exciting performance in joint segmentation of optic disc and optic cup on single-institution datasets. However, their clinical translation is hindered by two major challenges: limited availability of... read more 

Usability and feasibility of a Socratic LLM-supported learning tool for clinical reasoning in undergraduate nursing education.

Nurse education today Mar 25, 2026
AIM: To evaluate clinical reasoning outcomes and the usability and feasibility of an AI-supported platform that uses a large language model (LLM) to foster higher-order thinking via the Socratic method. DESIGN: Prospective observational process evalu... read more 

Multi-modal contrastive learning based on molecular and textual data for drug response prediction.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2026
Accurate prediction of drug response is crucial for advancing precision medicine and optimizing therapeutic strategies. However, current deep learning-based drug response prediction (DRP) methods still suffer from significant limitations. They predom... read more 

Path forward: Cryoablation for colorectal liver metastases.

European journal of radiology Mar 25, 2026
PURPOSE: Colorectal liver metastases (CRLM) are a leading cause of mortality in patients with colorectal cancer. While surgical resection is the standard curative option, most patients are ineligible. Consequently, cryoablation (CA) has emerged as a ... read more 

Multisensory assessment and machine learning for athlete classification in talent identification.

Journal of science and medicine in sport Mar 25, 2026
BACKGROUND: Talent identification in elite sport is challenged by maturation confounding and limited objective assessment tools. This preliminary study examined whether visual-vestibular-somatosensory and autonomic (VVS-A) measures distinguished podi... read more 

Meta-path and context-aware learning for attribute completion in heterogeneous graphs.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2026
Heterogeneous graph attribute completion (HGAC) has garnered substantial attention due to its critical role in various graph-based applications in recent years. However, existing HGAC methods often overlook valuable meta-path information, focus solel... read more 

Ultrasound Localization Microscopy Learned from power doppler by uncertainty frequency density estimation and semantic consistency awareness.

Medical image analysis Mar 25, 2026
Ultrasound Localization Microscopy (ULM) achieves micron-level vascular visualization beyond the resolution of conventional ultrasound imaging by tracking microbubble positions. However, ULM relies on high-frame-count ultrasound images, which leads t... read more 

Comment on "Improving care for amyotrophic lateral sclerosis with artificial intelligence and affective computing".

Journal of the neurological sciences Mar 25, 2026
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