Artificial Intelligence Medical Compendium

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

Showing 52,171 to 52,180 of 225,279 articles

Derivation and validation of a machine learning-driven score to predict the diagnostic yield of endomyocardial biopsy.

NPJ digital medicine
Despite its low diagnostic yield, endomyocardial biopsy (EMB) remains the gold standard for establishing a definitive diagnosis in many cardiomyopathies. We developed and validated a machine-learning-based score to predict the likelihood of diagnosti... read more 

SPCNNet: spiking point cloud neural network for morphological neuron classification.

Scientific reports
Morphological neuron classification helps to reveal the functional characteristics and information transmission mechanisms of the nervous system. However, existing methods that use geometric feature extraction or image-based transformation do not con... read more 

A Novel Hybrid Approach To Drought Forecasting: Leveraging Feature Engineering And Ensemble Methods.

Scientific reports
There is a high need for accurate drought predictions that will play a crucial role to analyze and mitigate the adverse effects of climate change, that will help in ensuring agricultural sustainability and disaster management. Looking for the traditi... read more 

MM-GradCAM: an improved multimodal GradCAM method with 1D and 2D ECG data for detection of cardiac arrhythmia.

Scientific reports
As cardiac arrhythmia remains one of the leading causes of death worldwide, early and accurate diagnosis of cardiac arrhythmia is critical to improving patient outcomes. Electrocardiogram (ECG) analysis plays a critical role in the diagnosis of these... read more 

ReFaceX: donor-driven reversible face anonymisation with detached recovery.

Scientific reports
Organisations must share facial imagery that remains useful for analysis while protecting identity. Many current methods fail to strike this balance: reconstruction-centred encoder-decoder designs tend to blur salient detail, whereas latent edits in ... read more 

Beyond the algorithm potential: orthodontic tooth-extraction decisions in the age of AI.

Evidence-based dentistry
A COMMENTARY ON: Ziaei, S., Samani, D., Behjati, M. et al. Accuracy of artificial intelligence in orthodontic extraction treatment planning: a systematic review and meta-analysis. BMC Oral Health 2025;25:1576. https://doi.org/10.1186/s12903-025-06880... read more 

DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.

Communications biology
Spatial transcriptomics is an emerging technology that can analyze gene expression profiles of tissues while preserving spatial location information. To restore cell type proportions from mixed gene expression data, here we present DANST, a deconvolu... read more