Artificial Intelligence Medical Compendium

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

Showing 59,721 to 59,730 of 228,014 articles

Development and validation of an Interpretable Machine learning model for Discriminating between benign and malignant breast cancer.

International journal of medical informatics
OBJECTIVE: Breast cancer prognosis depends on early detection. We developed and externally validated a model using routine, readily available clinical and laboratory variables to discriminate malignant from benign breast lesions, aiming to reduce unn... read more 

Stratification of immunotherapy responses by adaptive immune receptor repertoires.

Trends in molecular medicine
A growing number of diseases are now treated with immunotherapies, which consist of interventions that suppress or stimulate the patient's immune system. Because individual humans express a unique repertoire of adaptive immune receptors, the efficacy... read more 

Longitudinal Peripheral Blood Transcriptomics Reveal Novel Signatures During Cardiac Allograft Rejection.

Transplantation direct
BACKGROUND: Acute cellular rejection (ACR) remains a major cause of morbidity after heart transplantation despite advances in immunosuppression. Whole genome transcriptomic profiling offers a systems-based, unbiased approach to elucidate the molecula... read more 

Assessing greenspace and cardiovascular disease risk through deep learning analysis of street-view imagery in the US-based nationwide Nurses' Health Study.

Environmental epidemiology (Philadelphia, Pa.)
BACKGROUND: Living near greenspace is associated with decreased cardiovascular disease (CVD). Greenspace estimates, however, typically represent all types of vegetation using top-down satellite images, which incorporate exposure misclassification and... read more 

CBAM-ST-GCN: An enhanced DRL-based end-to-end visual navigation framework for mobile robot.

Neural networks : the official journal of the International Neural Network Society
Visual-based navigation for mobile robot poses significant challenges due to limited visual perception and the presence of unforeseen dynamic obstacles. Deep reinforcement learning (DRL) provides an end-to-end solution by directly mapping raw sensor ... read more 

Rotation equivariant quantum graph neural networks with trainable compression encoder and entanglement-enhanced aggregation.

Neural networks : the official journal of the International Neural Network Society
The integration of symmetry, such as permutation equivariance, into Quantum Graph Neural Networks (QGNNs), referred to as Equivariant Quantum Graph Neural Networks (EQGNNs), markedly improves the model's generalization performance on graph-structured... read more 

cervical nuclei segmentation through synergic conditional generative adversarial network in cervical smear images.

Computational biology and chemistry
Cervical nuclei segmentation is critical for the early detection and accurate diagnosis of cervical cancer. However, this task is challenging due to the presence of clumped nuclei and variations in texture, shape, and contrast. To address these chall... read more 

Lightweight frameworks for real-time crack monitoring in civil infrastructure.

Ultrasonics
Cracks in concrete buildings, pavements and bridges are important signs of structural deterioration and present serious concerns to integrity and safety. Tradionally, manual inspection has been in use to detect the cracks which is labour-intensive, s... read more 

Validation of histopathology-based deep learning algorithms for detection of actionable non-small cell lung cancer biomarkers.

NPJ precision oncology
Non-small cell lung cancer (NSCLC) patient management relies on molecular analysis to determine eligibility for targeted therapy. Furthermore, neoadjuvant immunotherapy is primarily suitable in the absence of specific genomic alterations. However, si... read more