Artificial Intelligence Medical Compendium

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

Showing 24,621 to 24,630 of 217,425 articles

Multi-criteria consensus-based group decision making with prospect-regret TOPSIS for human-AI tool selection under linguistic Z-numbers.

Scientific reports
The rapid advances in artificial intelligence (AI) and machine learning have transformed computer technology. Now, computers can learn and adapt autonomously, make sound judgments, and create environments in which humans and AI work in harmony. Analy... read more 

Dual framework for rainfall prediction: a multi-seed machine and deep learning evaluation across Pakistan's climatic regimes.

Scientific reports
Accurate prediction of rainfall events is vital for agriculture, hydrology, flood preparedness, and climate-adaptive strategies in regions of Pakistan susceptible to monsoons and droughts. Increasing climate variability highlights the need for reliab... read more 

Deep-AquATTEN: a hybrid multi-module attention architecture for robust fish detection and classification in turbid underwater environments.

Scientific reports
Efficient and accurate detection of fish in turbid underwater environments is crucial for aquaculture management, biomass estimation, and ecosystem monitoring. Traditional underwater analysis methods rely on handcrafted features and classical machine... read more 

Fast 3D dynamic visualization of porcine spermatozoa by using high-resolution wavefront coding light sheet microscopy and machine learning.

Scientific reports
We present a wavefront coding (WFC) based decoupled illumination-detection light sheet fluorescence microscopy (DID-LSFM) system that integrates machine learning for high-speed volumetric imaging. This approach enables high-speed volumetric imaging o... read more 

Multimodal data analysis reveals asynchronous aging dynamics across female reproductive organs.

Nature aging
Female reproductive aging has systemic health implications, yet tissue-level dynamics remain poorly understood. Here we integrate deep learning analysis of 1,112 histology images with RNA sequencing from 659 samples across seven female reproductive o... read more 

scDecorr: feature decorrelation based representation learning enables self-supervised alignment of multiple single-cell experiments.

Scientific reports
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity in complex biological systems. However, analyzing and integrating scRNA-seq data poses unique computational challenges due to sparsity, high variabi... read more 

Enhancing sustainability through reliability optimization of interconnected pump and water supply systems using a semi-Markov model.

Scientific reports
Ensuring the reliability of critical infrastructure systems is essential for industrial and agricultural sustainability. This study focuses on analyzing the reliability of two interconnected systems: a centrifugal pumping system, comprising an impell... read more