Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 1,631 to 1,640 of 200,546 articles
Machine learning models for reducing false positives in Fluorometric newborn screening of phenylketonuria: Development, validation, and clinical application.
Clinica chimica acta; international journal of clinical chemistry
May 31, 2026
BACKGROUND: Fluorometric newborn screening for phenylketonuria (PKU) is widely used but plagued by high false positives (FPs), leading to unnecessary follow-ups and parental anxiety. Machine learning (ML) models may optimize screening efficiency by r... read more
Integrated analysis of mRNA, circRNA, and miRNA reveals a ceRNA network underlying growth rate differences in the longissimus dorsi muscle of Saba pigs.
Genomics
May 31, 2026
The growth rate of pigs is a key factor that determines production efficiency and economic benefits. Nevertheless, the regulatory mechanisms underlying growth rate differences within the same pig breed are poorly understood, particularly the roles of... read more
Beyond clinical predictors: Determining the impact of psychosocial factors in chronic pain after spinal cord injury.
Archives of physical medicine and rehabilitation
May 31, 2026
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
May 31, 2026
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
May 31, 2026
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
May 31, 2026
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
May 31, 2026
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
May 31, 2026
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
May 31, 2026
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
May 31, 2026
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
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