Artificial Intelligence Medical Compendium

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

Showing 23,501 to 23,510 of 217,176 articles

Enhancing consumer perception and market value of traditional fermented rice cakes via AI-driven cultural packaging: A hybrid framework.

Food research international (Ottawa, Ont.) May 2, 2026
The modernization of traditional food products faces a critical challenge: generic packaging often fails to convey historical value, thereby reducing consumer purchase intent. Using Hemudu Fermented Rice Cake as a case study, this study proposes a cl... read more 

Identification of EEG features during status epilepticus for prediction of emergent epilepsy phenotype in the mouse intra-amygdala kainic acid model using supervised learning.

IBRO neuroscience reports May 2, 2026
Preclinical animal models are essential for investigating epilepsy mechanisms and evaluating novel therapies. In rodents, epilepsy can be induced by status epilepticus, leading to later spontaneous recurrent seizures (SRSs). However, inter-animal var... read more 

Ultra-low-dose CT for malignant metastasis screening using a deep learning image reconstruction algorithm.

European journal of radiology May 2, 2026
PURPOSE: To evaluate the feasibility and diagnostic performance of ultra-low-dose CT (ULD-CT) for screening malignant metastasis using super-resolution deep learning reconstruction (SR-DLR) compared with normal-resolution DLR (NR-DLR) and hybrid iter... read more 

Rapid quality evaluation of Pu-erh raw tea storage years via hyperspectral imaging coupled with machine learning and microbial profiling.

Food chemistry May 2, 2026
This study developed a non-destructive approach for identifying storage years and quality evolution of Pu-erh raw tea by integrating sensory evaluation, chemical analysis, electronic nose/tongue, hyperspectral imaging, and 16S rRNA sequencing. Result... read more 

Adversarial-consistency enhanced implicit segmentation field for weakly supervised 3D cardiac image segmentation.

Medical image analysis May 2, 2026
Automatic acquisition of 3D cardiac anatomical structures plays a crucial role in the diagnosis of heart diseases. However, most existing automatic methods rely on costly pixel-level dense annotations. To reduce labeling costs, scribble-level supervi... read more 

Domain shift analysis of deep learning models for tooth detection in pediatric panoramic radiographs.

Dental materials journal May 2, 2026
The aim of this study was to externally validate object detection models for comprehensive tooth detection on pediatric panoramic radiographs, quantify the impact of domain shift across institutions and imaging protocols, and compare YOLOv8 and YOLOv... read more 

Unsupervised single-domain generalization for tissue classification via progressive domain transformation.

Medical image analysis May 2, 2026
Tissue classification is one of the fundamental tasks in computational pathology, but domain shifts in digital pathology images limit the generalization of classification models. Domain generalization has emerged as a leading solution to address this... read more 

Evaluation of new vectorcardiography algorithms for identifying left ventricular hypertrophy and impaired systolic function.

Journal of electrocardiology May 2, 2026
BACKGROUND: Timely diagnosis of impaired systolic function and left ventricular hypertrophy (LVH) remains a clinical challenge. Routine electrocardiography provides limited diagnostic accuracy for detecting early or subtle structural abnormalities. V... read more 

No modality left behind: Adapting to missing modalities via knowledge distillation for brain tumor segmentation.

Medical image analysis May 2, 2026
Accurate brain tumor segmentation is essential for preoperative evaluation and personalized treatment. Multi-modal MRI is widely used due to its ability to capture complementary tumor features across different sequences. However, in clinical practice... read more 

Engineered artificial antigen-presenting cells for tumor immunotherapy: Design strategies, clinical applications, and translational challenges.

Materials today. Bio May 2, 2026
Immunotherapy has long played a pivotal role in cancer treatment, and antigen-presenting cell (APC)-based immunotherapy represents a promising strategy, though its full potential remains to be realized. This therapy stimulates T cell activation and p... read more 
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