Artificial Intelligence Medical Compendium

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

Showing 3,801 to 3,810 of 169,808 articles

The Problem of Atypicality in LLM-Powered Psychiatry

arXiv Aug 8, 2025
Large language models (LLMs) are increasingly proposed as scalable solutions to the global mental health crisis. But their deployment in psychiatric contexts raises a distinctive ethical concern: the problem of atypicality. Because LLMs generate ou... read more 
Computers and Society

Beyond genomics: a multiomics future for parasitology.

Trends in parasitology Aug 8, 2025
Parasitology has long relied on genomics and transcriptomics to explore gene function, diversity, and host-parasite interactions, yet functional insight often requires deeper molecular resolution. This forum highlights advances in proteomics, metabol... read more 

ThematicPlane: Bridging Tacit User Intent and Latent Spaces for Image Generation

arXiv Aug 8, 2025
Generative AI has made image creation more accessible, yet aligning outputs with nuanced creative intent remains challenging, particularly for non-experts. Existing tools often require users to externalize ideas through prompts or references, limit... read more 
Human-Computer Interaction Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition H.5.2; I.2.7

Wetland dynamics in the Indus River Delta: A Sentinel-2 and machine learning approach.

Journal of environmental management Aug 8, 2025
Coastal wetlands of the Indus River Delta are vital ecological regions that have undergone significant transformations driven by anthropogenic activities and environmental stressors. This study assesses the dynamics of wetlands and reclamation in the... read more 

Ensemble-Based Graph Representation of fMRI Data for Cognitive Brain State Classification

arXiv Aug 8, 2025
Understanding and classifying human cognitive brain states based on neuroimaging data remains one of the foremost and most challenging problems in neuroscience, owing to the high dimensionality and intrinsic noise of the signals. In this work, we p... read more 
Neurons and Cognition Machine Learning

Exploring Interactive Simulation of Grass Display Color Characteristic Based on Real-World Conditions

arXiv Aug 8, 2025
Recent research has focused on incorporating media into living environments via color-controlled materials and image display. In particular, grass-based displays have drawn attention as landscape-friendly interactive interfaces. To develop the gras... read more 
Graphics Human-Computer Interaction

Street View Sociability: Interpretable Analysis of Urban Social Behavior Across 15 Cities

arXiv Aug 8, 2025
Designing socially active streets has long been a goal of urban planning, yet existing quantitative research largely measures pedestrian volume rather than the quality of social interactions. We hypothesize that street view imagery -- an inexpensiv... read more 
Computer Vision and Pattern Recognition Social and Information Networks

KnapFormer: An Online Load Balancer for Efficient Diffusion Transformers Training

arXiv Aug 8, 2025
We present KnapFormer, an efficient and versatile framework to combine workload balancing and sequence parallelism in distributed training of Diffusion Transformers (DiT). KnapFormer builds on the insight that strong synergy exists between sequence... read more 
Distributed, Parallel, and Cluster Computing Computer Vision and Pattern Recognition

Advanced non-destructive detection of peanut adulteration in ground roasted hazelnut using FT-NIR spectroscopy and machine learning.

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment Aug 8, 2025
Hazelnut adulteration with ground peanut is a severe health and economic problem. In this study, Fourier transform near-infrared spectroscopy (FT-NIRS) was combined with two distinct machine learning (ML) algorithms (the Lasso and Elastic Net) to det... read more 

A Co-Plane Machine Learning Model Based on Ultrasound Radiomics for the Evaluation of Diabetic Peripheral Neuropathy.

Academic radiology Aug 8, 2025
RATIONALE AND OBJECTIVES: Detection of diabetic peripheral neuropathy (DPN) is critical for preventing severe complications. Machine learning (ML) and radiomics offer promising approaches for the diagnosis of DPN; however, their application in ultras... read more 
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