Artificial Intelligence Medical Compendium

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

Showing 38,511 to 38,520 of 223,469 articles

Brieflow: An Integrated Computational Pipeline for High-Throughput Analysis of Optical Pooled Screening Data

bioRxiv
Optical pooled screening (OPS) has emerged as a powerful technique for functional genomics, enabling researchers to link genetic perturbations with complex cellular morphological phenotypes at unprecedented scale. However, OPS data analysis presents ... read more 

Stimulus-Driven Leakage in Naturalistic Neuroimaging

bioRxiv
This article elucidates a methodological pitfall of cross-validation for evaluating predictive models applied to naturalistic neuroimaging data---namely, "stimulus-driven leakage." While this problem has been well known as "leakage in training exampl... read more 

Explainable deep learning framework for fecal contamination detection on chicken eggshells via portable fluorescence imaging under ambient light.

Poultry science
This study evaluated the efficacy of optimized deep learning architectures using a portable fluorescence imaging device specifically for the in-situ detection of fecal contamination on chicken eggshells to enhance food safety. The research utilized a... read more 

A user's guide to your first self-driving liquid handling lab.

Digital discovery
Experimentation is inherently difficult because most methods require substantial refinement, calibration, and validation before high-quality, reliable data can be collected. In most cases, experimental outcomes are impacted by multiple variables, thu... read more 

Unlocking azobenzene isomerization mechanisms via an LLM agent-driven workflow integrating simulation, experiment, and machine learning.

Chemical science
Bridged azobenzene derivatives are key photo-responsive molecular switches. However, probing and interpreting their microscopic Z ↔ E isomerization mechanisms remain challenging as isolated spectroscopic and computational efforts struggle to establis... read more 

rKAN: Rational Kolmogorov-Arnold networks.

Neural networks : the official journal of the International Neural Network Society
The development of Kolmogorov-Arnold networks (KANs) marks a significant shift from traditional multi-layer perceptrons in deep learning. Initially, KANs employed learnable B-spline curves as their primary basis function, but their inherent complexit... read more 

Super-Resolution enhanced deep learning for efficient and accurate urban flood simulation at the street scale.

Water research
Efficient and high-precision flood simulation is a critical technology for supporting urban flood risk management and emergency response. To address the high computational cost associated with traditional high-resolution hydraulic simulations, super-... read more 

Satellite-based detection of asbestos-cement roofs using WorldView-3 VNIR data: An affordable evaluation tool for sustainable management of hazardous building infrastructure.

Journal of hazardous materials
Asbestos-cement (AC) roofing remains a critical concern for urban environmental health, particularly in cities where asbestos bans were implemented late and legacy materials persist. Reliable identification of AC roofs is essential for risk assessmen... read more