Artificial Intelligence Medical Compendium

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

Showing 54,741 to 54,750 of 226,183 articles

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

IEEE transactions on pattern analysis and machine intelligence
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
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
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
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)
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
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
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
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 

Amplified warming in tropical and subtropical cities under 2 °C climate change.

Proceedings of the National Academy of Sciences of the United States of America
Cities are often warmer than rural surroundings due to a phenomenon known as the urban heat island, which can be influenced by various factors, such as regional climate and land surface types. Under climate change, cities face not only the challenge ... read more 

The Emerging Role of Artificial Intelligence in Drug Discovery and Development: Implications for Cardiovascular Pharmacology.

Journal of cardiovascular pharmacology
Cardiovascular diseases remain the leading cause of global morbidity and mortality, highlighting the urgent need for more efficient, precise, and cost-effective drug development strategies. Traditional drug discovery pipelines face persistent challen... read more