Artificial Intelligence Medical Compendium

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

Showing 25,491 to 25,500 of 217,759 articles

Uncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning

arXiv Apr 27, 2026
The widespread adoption of social media has heightened interest in its psychological effects, particularly on mental health indicators such as anxiety, depression, loneliness, and sleep quality, as these platforms increasingly influence social intera... read more 
Machine Learning

Infrastructure-Guided Connectivity-Enhanced Road Crack Detection and Estimation

arXiv Apr 27, 2026
In this paper, we report the world's first infrastructure-guided communication-enhanced road crack detection pipeline that is effective and implementable on passenger vehicles. We first design a customized communication protocol to transmit the regio... read more 
Computer Vision and Pattern Recognition

Meta-CoT: Enhancing Granularity and Generalization in Image Editing

arXiv Apr 27, 2026
Unified multi-modal understanding/generative models have shown improved image editing performance by incorporating fine-grained understanding into their Chain-of-Thought (CoT) process. However, a critical question remains underexplored: what forms of... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.MM

Computational Design and Experimental Validation of Photoactive PARP1 Inhibitors

arXiv Apr 27, 2026
Light-activated drugs are a promising way to treat localized diseases for which existing treatments have severe side effects. However, their development is complicated by the set of photophysical and biological properties that must be simultaneously ... read more 
Chemical Physics cs.LG

Probing CLIP's Comprehension of 360-Degree Textual and Visual Semantics

arXiv Apr 27, 2026
The dream of instantly creating rich 360-degree panoramic worlds from text is rapidly becoming a reality, yet a crucial gap exists in our ability to reliably evaluate their semantic alignment. Contrastive Language-Image Pre-training (CLIP) models, st... read more 
Computer Vision and Pattern Recognition

Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction

arXiv Apr 27, 2026
Pathology foundation models (PFMs) have recently emerged as powerful pretrained encoders for computational pathology, enabling transfer learning across a wide range of downstream tasks. However, systematic comparisons of these models for clinically m... read more 
Computer Vision and Pattern Recognition cs.LG

Aycromo: An Open-Source Platform for Automatic Chromosome Detection in Metaphase Images Based on Deep Learning

arXiv Apr 27, 2026
Chromosome analysis is a fundamental step in the diagnosis of genetic diseases, but the manual karyotyping workflow is time-consuming and heavily dependent on expert specialists, often requiring several days per patient. Although Deep Learning models... read more 
Computer Vision and Pattern Recognition

WildLIFT: Lifting monocular drone video to 3D for species-agnostic wildlife monitoring

arXiv Apr 27, 2026
Monocular RGB cameras mounted on drones are widely used for wildlife monitoring, yet most analytical pipelines remain confined to two-dimensional image space, leaving geometric information in video underexploited. We present WildLIFT, a computational... read more 
Computer Vision and Pattern Recognition

DiffuSAM: Diffusion-Based Prompt-Free SAM2 for Few-Shot and Source-Free Medical Image Segmentation

arXiv Apr 27, 2026
Segmentation models such as Segment Anything Model (SAM) and SAM2 achieve strong prompt-driven zero-shot performance. However, their training on natural images limits domain transfer to medical data. Consequently, accurate segmentation typically requ... read more 
Computer Vision and Pattern Recognition

Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation

arXiv Apr 27, 2026
Unified multimodal models typically rely on pretrained vision encoders and use separate visual representations for understanding and generation, creating misalignment between the two tasks and preventing fully end-to-end optimization from raw pixels.... read more 
Computer Vision and Pattern Recognition
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