Artificial Intelligence Medical Compendium

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

Showing 26,101 to 26,110 of 217,905 articles

Combined radiomics, PI-RADS, and clinical model improve significant prostate cancer prediction and guide biopsy decision.

Insights into imaging
OBJECTIVES: The aim of this study was to develop and validate an MRI radiomics-based predictive model to discriminate significant prostate cancer (sPCa), compare it with PI-RADS, and determine whether incorporating PI-RADS and other clinical variable... read more 

Robust service migration for autonomous vehicles leveraging deep learning and cooperative V2V protocols.

Scientific reports
Autonomous vehicles are essentially data centers on wheels. Between self-driving algorithms and high-definition mapping, the demand for instant processing at the network edge is exploding. But here is the snag: keeping those data streams alive while ... read more 

A frontotemporal dementia-like phenotype in schizophrenia: links to striatal dopamine and iron accumulation.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Some schizophrenia patients share characteristics with behavioral variant frontotemporal dementia (bvFTD) including gray matter volume (GMV) similarities, suggesting overlapping brain mechanisms that may contribute to disease heterogeneity in schizop... read more 

S2A-RConvNet: standalone self-attention enabled deep learning model for brain tumor classification with MRI images.

Scientific reports
Globally, the main factor that contributes to increasing the mortality rate among people is the development of abnormal cells in the brain, which leads to a Brain Tumor (BT). Therefore, the classification of BT is essential to prevent the increasing ... read more 

Coupled cross-sectional and longitudinal non-negative matrix factorization reveals dominant brain aging trajectories in 48,949 individuals.

Nature communications
Machine learning can unravel heterogeneous patterns of brain aging and neurodegeneration, but existing methods offer limited insights into disease progression due to reliance on cross-sectional data. We introduce Coupled Cross-sectional and Longitudi... read more 

Context-aware multi-property antibody predictor: a novel framework integrating text and protein language models.

NPJ systems biology and applications
Recent advances in Machine Learning have transformed antibody development through in silico models, accelerating therapeutic candidate identification. However, challenges persist: rapid adaptation of property predictors to laboratory-specific assays ... read more 

Intelligent virtual agents in psychotherapy: a safety evaluation across high-risk mental health scenarios.

Scientific reports
The growing burden of mental illness and limited access to evidence-based psychotherapy have increased interest in artificial intelligence (AI)-driven conversational agents as potential supports for mental health care. In this exploratory pilot study... read more 

Deep learning-based double-sided fudge detection system with integrated physical components.

Scientific reports
This study proposes an automated defect detection system for large-scale fudge production, addressing the limitations of manual inspection, which is both labor-intensive and error-prone. Deep learning-based image recognition was employed to classify ... read more 

Emerging role of artificial intelligence in necrotizing enterocolitis and implementation challenges.

Pediatric research
Necrotizing enterocolitis (NEC) remains a persistent clinical challenge, with diagnostic strategies largely relying on reactive staging criteria that have not evolved significantly in decades. This commentary synthesizes emerging literature to evalua... read more 

Plasma multi-omics profiling unravels molecular alterations and biomarker panels during recovery from severe coronavirus disease 2019: a pilot study.

BMC infectious diseases
BACKGROUND: The potential multidimensional molecular alterations during recovery of severe patients with coronavirus infectious disease (COVID-19) remain to be elucidated. Early assessment of the prognosis of severe COVID-19 may facilitate appropriat... read more