AIMC Topic: Humans
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The Representational Organization of Static and Dynamic Visual Features in the Human Cortex.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jul 9, 2025
Visual information consists of static and dynamic properties. How is their representation organized in the visual system? Static information has been associated with ventral temporal regions while dynamic information with lateral and dorsal regions. ...
Exploring entropy measures with topological indices on colorectal cancer drugs using curvilinear regression analysis and machine learning approaches.
PloS one
Jul 9, 2025
A topological index is a numerical value derived from the structure of a molecule or graph that provides useful information about the molecule's physical, chemical, or biological properties. These indices are especially important in chemo-informatics...
Single-layer KAN for deepfake classification: Balancing efficiency and performance in resource constrained environments.
PloS one
Jul 9, 2025
Deepfakes, synthetic media created using artificial intelligence, threaten the authenticity of digital content. Traditional detection methods, such as Convolutional Neural Networks (CNNs), require substantial computational resources, rendering them i...
Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model.
PloS one
Jul 9, 2025
Intravenous immunoglobulin (IVIG) has been established as the first-line therapy for Kawasaki disease (KD). However, approximately 10%-20% of pediatric patients exhibit IVIG resistance. Current machine learning (ML) models demonstrate suboptimal pred...
IKEA effect and empathy for robots: Can assembly strengthen human-agent relationships?
PloS one
Jul 9, 2025
Cooperative relationships between humans and agents are becoming more important for the social coexistence of anthropomorphic agents, including virtual agents and robots. One way to improve the relationship between humans and agents is for humans to ...
Unsupervised learning using EHR and census data to identify distinct subphenotypes of newly diagnosed hypertension patients.
PloS one
Jul 9, 2025
BACKGROUND: Hypertension (HTN) is a complex condition with significant heterogeneity in presentation and treatment response. Identifying distinct subphenotypes of HTN may improve our understanding of its underlying mechanisms and guide more precise t...
Multiparameter MRI-based automatic segmentation and diagnostic models for the differentiation of intracranial solitary fibrous tumors and meningiomas.
Annals of medicine
Jul 8, 2025
BACKGROUND: Intracranial solitary fibrous tumors (SFTs) and meningiomas are meningeal tumors with different malignancy levels and prognoses. Their similar imaging features make preoperative differentiation difficult, resulting in high misdiagnosis ra...
Adverse impact of paternal age on embryo euploidy: insights from retrospective analysis and interpretable Machine learning.
Human fertility (Cambridge, England)
Jul 8, 2025
The trend of delayed childbearing has increased the average age of parents, with the impact of paternal age on embryo euploidy remaining controversial. Therefore, this study aimed to investigate the impact of paternal age on embryo euploidy using ret...
OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study.
Proceedings of the National Academy of Sciences of the United States of America
Jul 8, 2025
Glioma is the most common primary malignant brain tumor and preoperative genetic profiling is essential for the management of glioma patients. Our study focused on tumor regions segmentation and predicting the World Health Organization (WHO) grade, i...
Assessing the Accuracy of ChatGPT in Appropriately Triaging Common Postoperative Concerns Regarding Mohs Micrographic Surgery.
JMIR dermatology
Jul 8, 2025
Artificial intelligence (AI) is increasingly integrated into health care, offering potential benefits in patient education, triage, and administrative efficiency. This study evaluates AI-driven dialogue interfaces within an electronic health record a...
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