Artificial Intelligence Medical Compendium

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

Showing 42,311 to 42,320 of 223,853 articles

Automated Detection of Malignant Lesions in the Ovary Using Deep Learning Models and XAI

arXiv Mar 12, 2026
The unrestrained proliferation of cells that are malignant in nature is cancer. In recent times, medical professionals are constantly acquiring enhanced diagnostic and treatment abilities by implementing deep learning models to analyze medical data f... read more 
Artificial Intelligence cs.CV

Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology

arXiv Mar 12, 2026
Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and efficiency in computational pathology. However, collaboration between human experts and AI may introduce cognitive biases such as automation and anchorin... read more 
Human-Computer Interaction

Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology

arXiv Mar 12, 2026
Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and efficiency in computational pathology. However, collaboration between human experts and AI may introduce cognitive biases such as automation and anchorin... read more 
Human-Computer Interaction

Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning

arXiv Mar 12, 2026
The differentiation between tumor recurrence and radiation-induced contrast enhancements in post-treatment glioblastoma patients remains a major clinical challenge. Existing approaches rely on clinically sparsely available diffusion MRI or do not con... read more 
Computer Vision and Pattern Recognition

A Decade of Generative Adversarial Networks for Porous Material Reconstruction

arXiv Mar 12, 2026
Digital reconstruction of porous materials has become increasingly critical for applications ranging from geological reservoir characterization to tissue engineering and electrochemical device design. While traditional methods such as micro-computed ... read more 
Computer Vision and Pattern Recognition cond-mat.mtrl-sci physics.geo-ph

ZeroSense:How Vision matters in Long Context Compression

arXiv Mar 12, 2026
Recent visual-text compression (VTC) methods, typified by DeepSeek-OCR, report impressive high token compression ratios for long-context modeling tasks by leveraging text-to-image rendering. However, existing evaluation protocols heavily rely on down... read more 
Computer Vision and Pattern Recognition

Deep Learning-based Assessment of the Relation Between the Third Molar and Mandibular Canal on Panoramic Radiographs using Local, Centralized, and Federated Learning

arXiv Mar 12, 2026
Impaction of the mandibular third molar in proximity to the mandibular canal increases the risk of inferior alveolar nerve injury. Panoramic radiography is routinely used to assess this relationship. Automated classification of molar-canal overlap co... read more 
Image and Video Processing cs.CV

Derain-Agent: A Plug-and-Play Agent Framework for Rainy Image Restoration

arXiv Mar 12, 2026
While deep learning has advanced single-image deraining, existing models suffer from a fundamental limitation: they employ a static inference paradigm that fails to adapt to the complex, coupled degradations (e.g., noise artifacts, blur, and color de... read more 
Computer Vision and Pattern Recognition

Single-View Rolling-Shutter SfM

arXiv Mar 12, 2026
Rolling-shutter (RS) cameras are ubiquitous, but RS SfM (structure-from-motion) has not been fully solved yet. This work suggests an approach to remedy this: We characterize RS single-view geometry of observed world points or lines. Exploiting this g... read more 
Computer Vision and Pattern Recognition math.AG

Causal Representation Learning with Optimal Compression under Complex Treatments

arXiv Mar 12, 2026
Estimating Individual Treatment Effects (ITE) in multi-treatment scenarios faces two critical challenges: the Hyperparameter Selection Dilemma for balancing weights and the Curse of Dimensionality in computational scalability. This paper derives a no... read more 
Machine Learning stat.ME
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