Artificial Intelligence Medical Compendium

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

Showing 3,411 to 3,420 of 168,679 articles

Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation

arXiv Aug 6, 2025
In this paper, we propose new randomized algorithms for estimating the two-to-infinity and one-to-two norms in a matrix-free setting, using only matrix-vector multiplications. Our methods are based on appropriate modifications of Hutchinson's diago... read more 
Machine Learning Numerical Analysis Numerical Analysis Machine Learning 65F35

Transductive zero-shot learning via knowledge graph and graph convolutional networks.

Scientific reports Aug 6, 2025
Zero-shot learning methods are used to recognize objects of unseen categories. By transferring knowledge from the seen classes to describe the unseen classes, deep learning models can recognize unseen categories. However, relying solely on a small la... read more 

Artificial Intelligence Iterative Reconstruction Algorithm Combined with Low-Dose Aortic CTA for Preoperative Access Assessment of Transcatheter Aortic Valve Implantation: A Prospective Cohort Study.

Journal of imaging informatics in medicine Aug 6, 2025
This study aimed to explore whether an artificial intelligence iterative reconstruction (AIIR) algorithm combined with low-dose aortic computed tomography angiography (CTA) demonstrates clinical effectiveness in assessing preoperative access for tran... read more 

TalkDep: Clinically Grounded LLM Personas for Conversation-Centric Depression Screening

arXiv Aug 6, 2025
The increasing demand for mental health services has outpaced the availability of real training data to develop clinical professionals, leading to limited support for the diagnosis of depression. This shortage has motivated the development of simul... read more 
Computation and Language Artificial Intelligence

Targeting neurodegeneration: three machine learning methods for G9a inhibitors discovery using PubChem and scikit-learn.

Journal of computer-aided molecular design Aug 6, 2025
In light of the increasing interest in G9a's role in neuroscience, three machine learning (ML) models, that are time efficient and cost effective, were developed to support researchers in this area. The models are based on data provided by PubChem an... read more 
Humans Machine Learning Neurodegenerative Diseases Enzyme Inhibitors Drug Discovery Algorithms

Improving Tactile Gesture Recognition with Optical Flow

arXiv Aug 6, 2025
Tactile gesture recognition systems play a crucial role in Human-Robot Interaction (HRI) by enabling intuitive communication between humans and robots. The literature mainly addresses this problem by applying machine learning techniques to classify... read more 
Robotics

A machine learning approach for image classification in synthetic aperture RADAR

arXiv Aug 6, 2025
We consider the problem in Synthetic Aperture RADAR (SAR) of identifying and classifying objects located on the ground by means of Convolutional Neural Networks (CNNs). Specifically, we adopt a single scattering approximation to classify the shape ... read more 
Computer Vision and Pattern Recognition Numerical Analysis Numerical Analysis

Artificial intelligence in drug design: why a 'one-size-fits-all' approach remains out of reach.

Expert opinion on drug discovery Aug 6, 2025
INTRODUCTION: Advances in artificial intelligence (AI) have transformed the drug design and discovery process, introducing novel methods that can reduce costs, increase success rates, and shorten development timelines. However, due to the complexity ... read more 

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case

arXiv Aug 6, 2025
Collecting real-world data for rare high-risk scenarios, long-tailed driving events, and complex interactions remains challenging, leading to poor performance of existing autonomous driving systems in these critical situations. In this paper, we pr... read more 
Robotics Computer Vision and Pattern Recognition

Can AI grade like a professor? comparing artificial intelligence and faculty scoring of medical student short-answer clinical reasoning exams.

Advances in health sciences education : theory and practice Aug 6, 2025
Many medical schools primarily use multiple-choice questions (MCQs) in pre-clinical assessments due to their efficiency and consistency. However, while MCQs are easy to grade, they often fall short in evaluating higher-order reasoning and understandi... read more 
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