Artificial Intelligence Medical Compendium

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

Showing 4,081 to 4,090 of 173,463 articles

Deep Learning for Taxol Exposure Analysis: A New Cell Image Dataset and Attention-Based Baseline Model

arXiv Aug 20, 2025
Monitoring the effects of the chemotherapeutic agent Taxol at the cellular level is critical for both clinical evaluation and biomedical research. However, existing detection methods require specialized equipment, skilled personnel, and extensive s... read more 
Computer Vision and Pattern Recognition

Towards a DSL to Formalize Multimodal Requirements

arXiv Aug 20, 2025
Multimodal systems, which process multiple input types such as text, audio, and images, are becoming increasingly prevalent in software systems, enabled by the huge advancements in Machine Learning. This triggers the need to easily define the requi... read more 
Software Engineering

Organ-Agents: Virtual Human Physiology Simulator via LLMs

arXiv Aug 20, 2025
Recent advances in large language models (LLMs) have enabled new possibilities in simulating complex physiological systems. We introduce Organ-Agents, a multi-agent framework that simulates human physiology via LLM-driven agents. Each Simulator mod... read more 
Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition

Detecting Reading-Induced Confusion Using EEG and Eye Tracking

arXiv Aug 20, 2025
Humans regularly navigate an overwhelming amount of information via text media, whether reading articles, browsing social media, or interacting with chatbots. Confusion naturally arises when new information conflicts with or exceeds a reader's comp... read more 
Human-Computer Interaction Artificial Intelligence

Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework

arXiv Aug 20, 2025
With the emergence of e-commerce, the recommendations provided by commercial platforms must adapt to diverse scenarios to accommodate users' varying shopping preferences. Current methods typically use a unified framework to offer personalized recom... read more 
Information Retrieval

Topology-Aware Volume Fusion for Spectral Computed Tomography via Histograms and Extremum Graph

arXiv Aug 20, 2025
Photon-Counting Computed Tomography (PCCT) is a novel imaging modality that simultaneously acquires volumetric data at multiple X-ray energy levels, generating separate volumes that capture energy-dependent attenuation properties. Attenuation refer... read more 
Human-Computer Interaction

Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs

arXiv Aug 20, 2025
Electronic health records (EHRs) are long, noisy, and often redundant, posing a major challenge for the clinicians who must navigate them. Large language models (LLMs) offer a promising solution for extracting and reasoning over this unstructured t... read more 
Computation and Language Artificial Intelligence

ECHO: Frequency-aware Hierarchical Encoding for Variable-length Signal

arXiv Aug 20, 2025
Pre-trained foundation models have demonstrated remarkable success in vision and language, yet their potential for general machine signal modeling-covering acoustic, vibration, and other industrial sensor data-remains under-explored. Existing appro... read more 
Sound Artificial Intelligence Machine Learning Audio and Speech Processing

Physics-Constrained Diffusion Reconstruction with Posterior Correction for Quantitative and Fast PET Imaging

arXiv Aug 20, 2025
Deep learning-based reconstruction of positron emission tomography(PET) data has gained increasing attention in recent years. While these methods achieve fast reconstruction,concerns remain regarding quantitative accuracy and the presence of artifa... read more 
Medical Physics Computer Vision and Pattern Recognition

Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets.

Scientific reports Aug 20, 2025
In deregulated power markets (DPMs), transmission-line congestion has become more severe and frequent than in traditional power systems. This congestion hinders electricity markets from operating in normal competitive equilibrium. The independent sys... read more 
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