Artificial Intelligence Medical Compendium

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

Showing 51,101 to 51,110 of 225,062 articles

Multimodal generative AI for automated pavement condition assessment: Benchmarking model performance.

PloS one
Accurate and efficient pavement condition assessment is essential for maintaining roadway safety and optimizing maintenance investments. However, conventional assessment methods such as manual visual inspections and specialized sensing equipment are ... read more 

Out-of-Distribution-Resistant Evaluations for Explanations of Graph Neural Networks.

IEEE transactions on pattern analysis and machine intelligence
Explainability in Graph Neural Networks (GNNs) has shown considerable promise in bolstering their trustworthiness, credibility and transparency. Our research delves into the assessment of explainability within GNNs, a pivotal factor for ensuring the ... read more 

Computational Investigation of Abstraction in Claude Monet's Water Lilies through Brushstroke Analysis.

IEEE transactions on pattern analysis and machine intelligence
Claude Monet's late paintings of Water Lilies exhibit stylistic transformations that are often characterized by art historians as increasingly abstract and gesturally expressive. However, it remains challenging to define and systematically identify t... read more 

Coded Event Focal Stack for Continuous Refocusing in Dynamic Scene.

IEEE transactions on pattern analysis and machine intelligence
Traditional cameras face limitations in maintaining focus across dynamic scenes, especially during rapid motion, due to the constraints of their lenses. Post-capture refocusing techniques, including deep learning-based methods and light field cameras... read more 

A multi-class framework for fish species classification using deep learning technique.

PloS one
Fish species recognition is essential for ecological studies, fishery management, and marine biology. Accurate detection and categorization are critical for preserving biodiversity, allowing scientists to track species distribution, identify invasive... read more 

Predicting risk of ascending thoracic aortic aneurysm in asymptomatic adults using machine learning.

PloS one
Most patients with ascending thoracic aortic aneurysms (ATAA) remain asymptomatic until they develop fatal complications, including aortic dissection and rupture. We aimed to develop and validate machine-learning models for predicting ATAA risk. We d... read more 

Programmable Memristive Optical Antenna Via Plasmonic Tunneling Junction.

Nano letters
Optoelectronic memristors, integrating light stimulation or readout onto conventional memristors, have gained significant development for artificial vision systems and neuromorphic computing. However, memristive optical nanoantennas that allow electr... read more 

EC2Seq2Sql: Patient-trial matching with LLM agents.

PloS one
Timely identification of patients who meet clinical trial eligibility criteria is a persistent bottleneck in trial recruitment because the criteria are written in flexible natural language, while hospital EHRs are stored in structured schemas. To bri... read more 

A Strengths, Weaknesses, Opportunities, and Threats Analysis of Generative Artificial Intelligence in Aphasia Management With Proposed Ethical Guidelines.

American journal of speech-language pathology
PURPOSE: Generative artificial intelligence (GenAI) is rapidly emerging as a transformative technology in aphasia management, necessitating judicious and structured evaluation. The purpose of this clinical focus article is to apply a Strengths, Weakn... read more 

Development of a multi-task learning framework with gradnorm for precise wound tissue analysis.

PloS one
Chronic wounds impose a substantial burden on patients and healthcare systems, necessitating accurate qualification of precise wound analysis for effective diagnosis and treatment. Wound size and the proportional composition of internal tissues are c... read more