Artificial Intelligence Medical Compendium

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

Showing 2,471 to 2,480 of 167,235 articles

Toward Verifiable Misinformation Detection: A Multi-Tool LLM Agent Framework

arXiv Aug 5, 2025
With the proliferation of Large Language Models (LLMs), the detection of misinformation has become increasingly important and complex. This research proposes an innovative verifiable misinformation detection LLM agent that goes beyond traditional t... read more 
Artificial Intelligence Computation and Language

AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence

arXiv Aug 5, 2025
We introduce AI on the Pulse, a real-world-ready anomaly detection system that continuously monitors patients using a fusion of wearable sensors, ambient intelligence, and advanced AI models. Powered by UniTS, a state-of-the-art (SoTA) universal ti... read more 
Machine Learning

Developing a code of ethics in health information management.

Health information management : journal of the Health Information Management Association of Australia Aug 5, 2025
An effective strategy for promoting ethics within organisations is to establish clear guidelines that outline acceptable behaviours in different situations through a code of ethics. In the field of health information management (HIM), a code of ethi... read more 

A 2D-3D Perovskite Memristor-Based Light-Induced Sensitized Neuron for Visual Information Processing.

Advanced materials (Deerfield Beach, Fla.) Aug 5, 2025
Implementing Leaky Integrate-and-Fire (LIF) neurons in hardware is poised to enable the creation of efficient, low-power spiking neural networks (SNNs). This is attributed to the ability of LIF neurons to mimic the rapid response and sensitivity of b... read more 

Accelerated free-breathing abdominal T2 mapping with deep learning reconstruction of radial turbo spin-echo data.

Magnetic resonance in medicine Aug 5, 2025
PURPOSE: To accelerate respiratory triggered free-breathing T2 mapping of the abdomen while maintaining high-quality anatomical images, accurate T2 maps, and fast reconstruction times. read more 

Next-gen vision: a systematic review on robotics transforming ophthalmic surgery.

Journal of robotic surgery Aug 5, 2025
Robotics in ophthalmic surgery marks a major advancement in surgical accuracy, safety, and therapeutic outcomes. This systematic review evaluates the evolution, current clinical applications, and future prospects of robotic systems in ophthalmology. ... read more 
Humans Artificial Intelligence Robotic Surgical Procedures Surgery, Computer-Assisted Ophthalmologic Surgical Procedures

Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation

arXiv Aug 5, 2025
Domain Generalized Semantic Segmentation (DGSS) aims to improve the generalization ability of models across unseen domains without access to target data during training. Recent advances in DGSS have increasingly exploited vision foundation models (... read more 
Computer Vision and Pattern Recognition

Opportunities and Challenges in Unsupervised Learning: The Case of Aqueous Electrolyte Solutions.

Journal of chemical theory and computation Aug 5, 2025
Machine learning has emerged as a powerful tool in atomistic simulations, enabling the identification of complex patterns in molecular systems, limiting human intervention and bias. However, the practical implementation of these methods presents sign... read more 

Landsat30-AU: A Vision-Language Dataset for Australian Landsat Imagery

arXiv Aug 5, 2025
Vision language models (VLMs) that enable natural language interaction with satellite imagery can democratize Earth observation by accelerating expert workflows, making data accessible to non-specialists, and enabling planet-scale automation. Howev... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

Policy to Assist Iteratively Local Segmentation: Optimising Modality and Location Selection for Prostate Cancer Localisation

arXiv Aug 5, 2025
Radiologists often mix medical image reading strategies, including inspection of individual modalities and local image regions, using information at different locations from different images independently as well as concurrently. In this paper, we ... read more 
Computer Vision and Pattern Recognition Artificial Intelligence
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