Artificial Intelligence Medical Compendium

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

Showing 3,121 to 3,130 of 168,416 articles

Adaptive context biasing in transformer-based ASR systems.

Scientific reports
With the advancement of neural networks, end-to-end neural automatic speech recognition (ASR) systems have demonstrated significant improvements in identifying contextually biased words. However, the incorporation of bias layers introduces additional... read more 

Circulating epigenetic signatures classifying brain insulin resistance in humans.

Science translational medicine
Brain insulin action plays an important role in metabolic and cognitive health, but there is no biomarker available to assess brain insulin resistance in humans. Here, we developed a machine learning framework based on blood DNA methylation profiles ... read more 

Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens

arXiv
We propose a method to extend foundational monocular depth estimators (FMDEs), trained on perspective images, to fisheye images. Despite being trained on tens of millions of images, FMDEs are susceptible to the covariate shift introduced by changes... read more 

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use

arXiv
The dream to create AI assistants as capable and versatile as the fictional J.A.R.V.I.S from Iron Man has long captivated imaginations. With the evolution of (multi-modal) large language models ((M)LLMs), this dream is closer to reality, as (M)LLM-... read more 

Multivideo Models for Classifying Hand Impairment After Stroke Using Egocentric Video.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
OBJECTIVES: After stroke, hand function assessments are used as outcome measures to evaluate new rehabilitation therapies, but do not reflect true performance in natural environments. Wearable (egocentric) cameras provide a way to capture hand functi... read more 

Beyond Pixels: Exploring DOM Downsampling for LLM-Based Web Agents

arXiv
Frontier LLMs only recently enabled serviceable, autonomous web agents. At that, a model poses as an instantaneous domain model backend. Ought to suggest interaction, it is consulted with a web-based task and respective application state. The key p... read more 

Effect of Comprehensive Medication Management on Mortality in Critically Ill Patients.

Critical care medicine
OBJECTIVES: Medication management in the ICU is causally linked to both treatment success and adverse drug events. The purpose of this evaluation was to explore the effect of comprehensive medication management (CMM) on mortality in critically ill pa... read more 

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
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 

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

arXiv
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 

Improving Crash Data Quality with Large Language Models: Evidence from Secondary Crash Narratives in Kentucky

arXiv
This study evaluates advanced natural language processing (NLP) techniques to enhance crash data quality by mining crash narratives, using secondary crash identification in Kentucky as a case study. Drawing from 16,656 manually reviewed narratives ... read more