Artificial Intelligence Medical Compendium

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

Showing 1,281 to 1,290 of 213,568 articles

Advancing sustainable agriculture through multi-parameter fuzzy soft set-based plant disease classification.

Scientific reports Jul 19, 2026
Plant diseases significantly affect agricultural productivity and global food security, while accurate disease identification remains challenging because of uncertain and overlapping visual symptoms in leaf images. Existing deep learning approaches o... read more 

Vehicle lane change prediction with explainable soft mask attention mechanism and heterogeneous information encoder.

Scientific reports Jul 19, 2026
Lane-change intention prediction is critical for intelligent vehicles, and driver decisions depend on the perception and processing of driving context information. Despite advances in deep learning in this domain, further exploration of the driving c... read more 

Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis

arXiv Jul 19, 2026
Air pollution and climate-related stressors are increasingly important concerns for respiratory health, especially in settings with unequal environmental exposure and healthcare capacity. This study evaluates an interpretable machine learning framewo... read more 
Machine Learning

Searching for Task-Specific Vision Paths: Evolutionary Block Pruning Across Vision-Language Models

arXiv Jul 19, 2026
Vision-language models normally execute the same complete vision encoder for every question, even when OCR, counting, object, attribute, and spatial queries may not require identical computation. We study whether fixed-budget combinations of vision b... read more 
Computer Vision and Pattern Recognition

High-Capacity Robust Watermarking Technology for High-Resolution Images

arXiv Jul 19, 2026
Most existing watermarking techniques are primarily designed for low-resolution images, with few methods tailored for high-resolution images. Moreover, the embedding capacity is often limited to fixed lengths (e.g., 30, 100, 256 bits, etc.), which st... read more 
Computer Vision and Pattern Recognition

Expressivity of Shallow Neural Networks Over Finite Fields

arXiv Jul 19, 2026
We study the expressivity of shallow polynomial neural networks (PNNs) with monomial activation functions over finite fields. For a given architecture, we define a neuromanifold as the image of the map from all possible network weights into the produ... read more 
Algebraic Geometry cs.NE

Denoising Models Develop Human-Like Perceptual Illusion Representations Across Architectures

arXiv Jul 19, 2026
Deep neural networks trained on natural images are shown to produce outputs consistent with human observers for brightness illusions. While this phenomenon has been documented across architectures, all evidence, to date, is measured at the output lev... read more 
Computer Vision and Pattern Recognition

STBridge: Shared-Target Alignment for Bridging Understanding and Generation in UMMs

arXiv Jul 19, 2026
Unified multimodal models (UMMs) aim to integrate visual understanding and generation within a single architecture, but architectural unification alone does not ensure semantic consistency. A model may describe the intended target correctly while gen... read more 
Computer Vision and Pattern Recognition

BanClickThumb: A Multimodal Dataset and Transformer Fusion Benchmarks for Clickbait Detection in Bengali YouTube Videos

arXiv Jul 19, 2026
Clickbait, where video titles and thumbnails exaggerate or misrepresent content, reduces user trust, wastes attention, and promotes misinformation on video-sharing platforms. Detecting Bengali clickbait remains challenging because publicly available ... read more 
Computer Vision and Pattern Recognition

PocketPPD: Screening for Postpartum Depression Risk Using Passive Smartphone Sensing

arXiv Jul 19, 2026
Postpartum depression (PPD) is a serious perinatal mental health condition affecting approximately 20% of new mothers worldwide. Common screening approaches for PPD, such as self-report questionnaires and active digital logs, rely heavily on user inp... read more 
Human-Computer Interaction cs.CY
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