Artificial Intelligence Medical Compendium

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

Showing 37,231 to 37,240 of 223,469 articles

Federated Learning Framework for Privacy-Preserving Explainable AI-Driven Clinical Decision-Making.

IEEE journal of biomedical and health informatics Mar 31, 2026
The application of artificial intelligence (AI) in clinical diagnostics has shown substantial potential; however, conventional centralized learning frameworks often encounter critical limitations related to patient data privacy, data heterogeneity, a... read more 

MuGEP: Multiplex Graph-Based Brain Network Modeling for Epileptic Seizure Prediction Using Intracranial EEG.

IEEE journal of biomedical and health informatics Mar 31, 2026
Accurate seizure prediction in advance is crucial for patients with epilepsy, as it helps prevent harm and improve life quality. Intracranial electroencephalogram (iEEG), enabling precise characterization of epileptogenic and propagation networks fro... read more 

X-LAT-Net: An Interpretable Lightweight Axial Transformer Network for Pancreatic CT Segmentation.

IEEE journal of biomedical and health informatics Mar 31, 2026
Accurate segmentation of the pancreas in CT images is notoriously difficult due to its deep-seated anatomical position, complex morphological variations, and low contrast against surrounding soft tissues. Although deep learning has significantly impr... read more 

A VR-based Automated Strabismus Diagnosis System with Progressive Semi-Supervised Learning.

IEEE journal of biomedical and health informatics Mar 31, 2026
Strabismus is a prevalent ocular disorder that can impair visual development and cause psychological issues if not diagnosed early. Conventional clinical diagnosis primarily relies on the prism cover test (PCT), which is subjective, requires patient ... read more 

Incorporating Patient Similarity and Clinical Temporality in Disease Prognostic Modeling.

IEEE transactions on computational biology and bioinformatics Mar 31, 2026
Health recommender systems (HRSs) enhance prognostication by leveraging clinical information. Existing HRSs often fail to capture the intrinsic correlations between patient phenotypes with similar clinical profiles, necessitating approaches that inco... read more 

Multi-label Ensemble Model for Knee Joint Anatomy and Lesion Segmentation: Segmentation of Clinical Images With Ensembling, Morphology, and Attention (SCEMA).

Magnetic resonance in medicine Mar 31, 2026
PURPOSE: Quantitative MRI analysis holds significant promise for improving the early diagnosis and prognosis of osteoarthritis (OA), where accurate tissue and lesion segmentation is a critical step for reliable quantification. In particular, bone mar... read more 

Correction: Artificial intelligence-based dairy cattle behavior recognition for estrus detection via ensemble fusion of two camera views.

PloS one Mar 31, 2026
[This corrects the article DOI: 10.1371/journal.pone.0340999.]. read more 

BirdNET: Automated Detection for Monitoring Critically Endangered Lemurs from the Maromizaha Forest.

Integrative zoology Mar 31, 2026
Passive acoustic monitoring (PAM) is a widely used technique in wildlife research, enabling the collection of extensive data on species presence, distribution, and behavior over large spatial and temporal scales in a non-invasive and cost-effective m... read more 

BGSC-Net: Boundary-guided semantic compensation network for remote sensing image segmentation.

PloS one Mar 31, 2026
Deep learning has recently made remarkable progress in remote sensing image segmentation, with hybrid architectures that integrate convolutional neural networks (CNNs) and Transformers emerging as a promising solution, particularly for high-resolutio... read more 

Designing a Carbohydrate Counting App for Young Adults With Type 1 Diabetes: Usability Testing Interview Study.

Journal of medical Internet research Mar 31, 2026
BACKGROUND: Carbohydrate counting (CC) assists people with type 1 diabetes (T1D) adjust mealtime insulin doses; however, it is often burdensome. Mobile apps can simplify this process by automating carbohydrate estimation and insulin calculations, yet... read more 
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