Artificial Intelligence Medical Compendium

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

Showing 48,791 to 48,800 of 224,513 articles

Human in the loop artificial intelligence in healthcare: applications, outcomes, and implementation challenges.

International journal of medical informatics Feb 19, 2026
BACKGROUND: The integration of artificial intelligence in healthcare has transformed clinical practice and research methodologies. However, concerns regarding algorithmic accountability, interpretability, and safety have necessitated human oversight ... read more 

Brain structural and functional alterations in adolescents with borderline personality disorder: A systematic review and a research agenda.

Psychiatry research. Neuroimaging Feb 19, 2026
Adolescent borderline personality disorder (aBPD) is linked to severe psychological problems and social dysfunction in the affected adolescents. However, the neural bases of this disorder are still poorly understood. The objective of this review is t... read more 

Contrastive knowledge embedding with discriminative self-weighted sampling.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2026
Knowledge Graph (KG) embedding is to map components of a KG including entities and relations into a continuous low-dimensional space, with the goal of simplifying subsequent manipulation while preserving the inherent structure of the KG. Recent resea... read more 

Similarity-aware contrastive learning for face anti-spoofing via frequency enhancement and reconstruction.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2026
With the widespread application of face recognition systems, face anti-spoofing (FAS) has emerged as a critical research topic. Recent studies increasingly focus on the frequency domain instead of the spatial domain, as subtle spoofing patterns can b... read more 

MeshONet: A generalizable and efficient operator learning method for structured mesh generation.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2026
Mesh generation plays a crucial role in scientific computing. Traditional mesh generation methods, such as TFI and PDE-based methods, often struggle to achieve a balance between efficiency and mesh quality. To address this challenge, physics-informed... read more 

On the importance of white-box machine learning models in psychiatry: An example predicting suicidality in depression.

Psychiatry research Feb 19, 2026
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Predicting treatment response to neoadjuvant chemotherapy in locally advanced rectal cancer: A combined deep learning and machine learning approach utilizing longitudinal multi-sequence MRI.

European journal of radiology open Feb 19, 2026
PURPOSE: To develop and validate deep leaning-based machine learning models using longitudinal multi-sequence MRI for predicting treatment response of patients with locally advanced rectal cancer (LARC) to neoadjuvant chemotherapy (NCT). METHODS: Thi... read more 

GSASN: a graph self-learning attention scores network for spatial modeling of network traffic matrix prediction.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2026
Network traffic prediction is a critical technology for next-generation intelligent routers, enabling network managers to effectively plan resources and address bandwidth and latency challenges posed by rapidly growing data applications and video tra... read more 

Unsupervised domain adaptation for medical image segmentation using adaptogen-perturbation.

Medical image analysis Feb 19, 2026
Domains shift originated from differences in devices or patients in the medical field, poses a significant challenge when applying pre-trained models to clinical applications. To tackle this challenge, domain adaptation methods have been explored. Ho... read more 

Multi-branch convolutional neural network and intracranial EEG high-frequency oscillations predict post-surgical seizure outcomes.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Feb 19, 2026
OBJECTIVE: Pathological High-Frequency Oscillations (HFOs) identify epileptogenic cortex, but their surgical utility is unproven. Current epilepsy surgery planning relies on a "gold standard" multidisciplinary consensus. We tested if a Convolutional ... read more 
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