Artificial Intelligence Medical Compendium

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

Showing 55,161 to 55,170 of 226,647 articles

Top-$k$ Feature Selection in Sparse Learning via Accelerated Coordinate Descent Method.

IEEE transactions on pattern analysis and machine intelligence Feb 3, 2026
Top-$k$ feature selection in sparse learning is a fundamental problem in machine learning. It is difficult to conquer due to the rigid $\ell _{2,0}$-norm constraint. Existing literature mostly relaxes the constraint and seeks the approximation of the... read more 

Full-Scope Vectorization of Geographical Elements from Large-Size Remote Sensing Imagery.

IEEE transactions on pattern analysis and machine intelligence Feb 3, 2026
Large-size very-high-resolution (VHR) remote sensing imagery has emerged as a critical data source for high-precision vector mapping of multi-scale geographical elements such as building, water, road and etc. When dealing with the large-size image, d... read more 

Generalized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation.

IEEE transactions on pattern analysis and machine intelligence Feb 3, 2026
Evidential deep learning (EDL) models, based on Subjective Logic, introduce a principled and computationally efficient way to make deterministic neural networks uncertainty-aware. The resulting evidential models can quantify fine-grained uncertainty ... read more 

Searching to Modulate for Cold-Start Recommendation.

IEEE transactions on pattern analysis and machine intelligence Feb 3, 2026
Making personalized recommendation for cold-start users, who only have a few interaction histories, is a challenging problem in recommendation systems. Recent works leverage hypernetworks to directly map interaction histories to user-specific paramet... read more 

FPGDKG 1.0: An Integrated Facial Phenotype-Gene-Disease Knowledge Graph for Rare Disease Diagnosis and Explanation.

IEEE journal of biomedical and health informatics Feb 3, 2026
Rare diseases pose significant diagnostic challenges due to their low prevalence, limited clinical awareness, and pronounced phenotypic heterogeneity. Early and accurate diagnosis is essential but remains difficult, especially in resource-limited set... read more 

A two-stage algorithm to detect electrographically focal seizures using a wearable single-channel EEG sensor.

IEEE transactions on bio-medical engineering Feb 3, 2026
OBJECTIVE: This paper presents a two-stage machine learning model for electrographic seizure detection using wearable single-channel scalp electroencephalogram (EEG) sensors. METHODS: The algorithm first detects seizure in short, nonoverlapping segme... read more 

Applications of the Non-invasive Skin Imaging Techniques and Image-based Artificial Intelligence in Rosacea: A Narrative Review.

Dermatology (Basel, Switzerland) Feb 3, 2026
BACKGROUND: Rosacea is a common chronic inflammatory dermatosis with complex pathophysiology and heterogeneous clinical manifestations. Despite its prevalence, no specific serological biomarkers exist for reliable diagnosis or disease monitoring. Cur... read more 

Deep learning framework for RNA 5hmC prediction using RNA language model embeddings.

PloS one Feb 3, 2026
By influencing gene expression and contributing to epigenetic modifications, Ribonucleic Acid (RNA) 5-Hydroxymethylcytosine (5hmC) modification significantly affects cellular pathways. It plays an important role in complex regulatory networks and gen... read more 

Machine learning-based prediction of acute and complicated appendicitis using readily available data in low-resource settings.

PloS one Feb 3, 2026
BACKGROUND: Acute appendicitis often presents diagnostic challenges, especially in pediatric and elderly patients. Delays can cause serious complications. While imaging aids diagnosis, it is not always accessible. Machine learning offers a promising ... read more 

Generalized FitzHugh-Nagumo equations with Caputo gH-differentiability: A novel fuzzy fractional approach to digital memristor networks.

PloS one Feb 3, 2026
The fuzzy fractional generalized FitzHugh-Nagumo differential equations (FFGFH-NDEs) is a well-known and generalized model that plays a significant role in biological systems, including complex synchronization in brain networks, cardiac dynamics, pro... read more 
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