CT radiomics model predicts which ureteral stones will pass without surgery
A machine learning model combining CT radiomics with clinical variables predicted spontaneous ureteral stone passage within four weeks with an ...
A machine learning model combining CT radiomics with clinical variables predicted spontaneous ureteral stone passage within four weeks with an ...
Researchers propose a Holistic Explainable AI framework that embeds explanation into every stage of the data-analysis workflow and maps its ...
A new Python package provides programmatic access to tens of thousands of uniformly processed RNA-seq samples from human and mouse ...
A new commentary shows that Latent Dirichlet Allocation, a natural language processing technique, can extract major themes from classical political ...
An artificial neural network trained on finite element simulations can synthesize experimental acoustic emission damage signals for locations on a ...
An interpretable pathomics framework predicted BRAF V600E status in papillary thyroid carcinoma from routine Wright-stained cytology slides, reaching an AUC ...
A graph neural network trained on about 2.1 million PanDA job records predicts job turnaround time with an R-squared of ...
Researchers combined waste cotton stalks and eggshells into a microwave-grafted, calcium-rich biochar that removes tetracycline from water with a maximum ...
A new deep-learning phase picker called PhaseNeXt, trained on 25 million JMA waveforms, detected roughly 3.3 times more events than ...
Anesthesiology researchers argue that AI in perioperative care must be human-centered, warning that most models lack prospective validation and real-world ...
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© 2025 Scienmag - Science Magazine