Artificial Intelligence Medical Compendium

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

Showing 28,411 to 28,420 of 219,260 articles

Predicting student mental health through entropy-based features and interpretable cross-attention transformer networks.

PloS one Apr 21, 2026
Mental health is becoming a major concern for students in today's fast-changing world. Mental health challenges have impact on every aspect of life including performance which pointed to early identification of risk levels. Recent reports show a rapi... read more 

Dual-temporal inflow-outflow dependency modeling for short-term metro outflow prediction.

PloS one Apr 21, 2026
Recent advances in deep learning have substantially improved short-term metro passenger flow prediction. However, existing approaches often inadequately model the dependency of outflow on inflow and typically rely on predefined station correlation gr... read more 

LHW-Net: An ensemble-based machine learning framework for brain tumor classification.

PloS one Apr 21, 2026
The classification of brain tumors is an unsolved problem associated with heterogeneity of tumors and fluctuations in imaging conditions. In this work, the investigation introduces a powerful novel framework, named LHW-Net that combines handcrafted f... read more 

Cognitive load and pedagogical tension in multi-platform online learning: Evidence from Chinese higher education.

PloS one Apr 21, 2026
The proliferation of digital tools has transformed higher education into a complex, multi-platform online learning environment. This study investigates the paradoxical effects of this multi-platform environment on the student experience within Chines... read more 

Toward leveraging intrinsic point cloud features in 3D adversarial attacks.

PloS one Apr 21, 2026
Adversarial attacks pose serious challenges for deep neural network (DNN)-based analysis of various input signals. In the case of three-dimensional point clouds, methods have been developed to identify points that play a key role in network decision,... read more 

Integrated drought monitoring and analysis: A novel framework based on multi-source remote sensing data and ensemble machine learning.

PloS one Apr 21, 2026
Against the backdrop of climate change, drought risks are escalating in critical agricultural regions, highlighting the need for effective monitoring tools. Existing in-situ and remote sensing-based drought monitoring methods suffer from low accuracy... read more 

Controlled comparative study of YOLOv8-Pose, YOLOv11-Pose, and Detectron2 for vertebrae detection and keypoint estimation.

PloS one Apr 21, 2026
Accurate vertebrae detection with precise keypoint localization is essential for medical image analysis and clinical applications, such as spinal alignment assessment. This study presents a controlled, task-driven comparison of four pose-based deep l... read more 

A hybrid CNN-XLSTM-GRU deep learning model with autoencoder-based feature selection for hypothyroidism diagnosis.

PloS one Apr 21, 2026
Hypothyroidism, caused by reduced thyroid-hormone production, is often difficult to diagnose because its symptoms are non-specific and overlap with other disorders. We developed FusionNet-CXG, a hybrid deep-learning model that couples CNN, eXtended L... read more 

CORE-Net: A cross-modal orthogonal representation enhancement network for low-altitude multispectral object detection.

PloS one Apr 21, 2026
Object detection in visible light (RGB) images is frequently compromised by low-illumination conditions, whereas infrared (IR) imaging typically exhibits superior robustness in such environments. Multispectral fusion addresses this limitation by leve... read more 

Multi-class classification of autoimmune skin disease by efficient localization of overlapped lesion boundaries using SAM.

Expert review of clinical immunology Apr 21, 2026
BACKGROUND: Detection of Autoimmune skin disease is found challenging due to overlapping features and irregular skin lesion boundaries. Although numerous deep learning models have been proposed for skin disease classification, most are primarily desi... read more 
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