Artificial Intelligence Medical Compendium

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

Showing 1,431 to 1,440 of 200,346 articles

Beyond clinical predictors: Determining the impact of psychosocial factors in chronic pain after spinal cord injury.

Archives of physical medicine and rehabilitation
UNLABELLED: ▒: Although chronic pain is common after traumatic SCI, prognostic models have traditionally prioritized clinical injury characteristics, and the relative contribution of sociodemographic and psychological factors remains under-characteri... read more 

Predicting risk of mental health deterioration using multimodal data from the UK biobank.

Journal of advanced research
INTRODUCTION: Prospective prediction of mental health risk is critical for early intervention to reduce the burden of depression, anxiety, and cognitive disorders. OBJECTIVES: We aimed to investigate both the associations and genetically informed rel... read more 

A secure encryption-steganography method for public images using symmetric keys without prior synchronization.

Scientific reports
Secure data transmission within digital images remains a critical challenge due to vulnerabilities to key interception and steganalysis attacks. Traditional steganographic schemes often require shared keys, pre-trained models, or prior coordination, ... read more 

SHARP: a hybrid metaheuristic approach for intelligent robotic path planning.

Scientific reports
Robotic path planning is a fundamental requirement for autonomous navigation, where a robot must reach a target while avoiding obstacles and producing a feasible, smooth, and efficient trajectory. This paper presents SHARP, a hybrid metaheuristic pla... read more 

MedNet-FS: a few-shot learning framework for 3D MRI-based knee injury classification.

Scientific reports
The development of deep learning models for 3D knee MRI analysis is critically constrained by the scarcity of large, annotated datasets. Few-shot learning (FSL) offers a promising pathway to leverage small data, but its effective application to volum... read more 

LLM-guided expert feature extraction with fusion-based complementary learning network for fish freshness classification using eye images.

Scientific reports
Accurate, non-invasive grading of fish freshness remains challenging in dense and occluded environments, where the fish eye images serve as a reliable and consistently visible indicator of freshness. Loss of structural cues in the fish eye image ofte... read more 

Rapid autofluorescence based 3D optical imaging of the pancreatic cancer milieu at mesoscopic scale - stain-free volumetric segmentation.

Scientific reports
Although major advances have been made in the field of mesoscopic imaging and associated tissue clearing protocols, these applications are greatly challenged when applied to imaging of pancreatic ductal adenocarcinoma (PDAC) tissue. Most importantly,... read more 

Deep learning algorithm for automatic detection of acute ischemic stroke on noncontrast brain CT.

Scientific reports
This study aimed to evaluate the diagnostic performance of a deep learning-based algorithm for detecting acute ischemic stroke (AIS), including small infarcts, on non-contrast computed tomography (NCCT). A retrospective, multi-reader, pivotal, crosso... read more 

Integrating ontology and knowledge graphs for intelligent assessment and feedback in E-learning systems.

Scientific reports
In many online courses, assessment is still reduced to a numerical score accompanied by brief, generic feedback. Learners with different difficulties often receive similar responses, while instructors have limited support for identifying at-risk stud... read more 

From unsupervised clustering to atlas-guided annotation in cohort-scale spatial omics with HiCAT

bioRxiv
Pathologist-annotated tissue regions provide a fundamental reference for examining spatial omics data, yet such annotations are available for a limited number of samples due to the substantial manual effort required. Moreover, these annotations are d... read more