European Medical Journal

Machine Learning for Mortality Prediction in Cirrhotic Sepsis: Moving Beyond MELD, SOFA, and CLIF-SOFA

Sepsis in patients with cirrhosis carries an in-hospital mortality exceeding 40%, reflecting a pathophysiology distinct from ...
Tech Xplore

Researchers use Geoguessr champion to test geolocation accuracy in VLMs

The house in the distance, with a red, hip-shaped roof and white walls, tells Radu Casapu that this place is probably ...
Tech Xplore

New federated learning algorithm enables private, robust, and fast AI development

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
Journal of Medical Internet Research

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

We evaluated six machine learning models: deep neural network, logistic regression, decision tree, random forest, light gradient boosting machine, and naïve Bayes for predicting postoperative AKI, ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Medindia

New Study Reveals Powerful New Method Can Distinguish Schizophrenia from Healthy Using Brain SPECT Imaging

A groundbreaking new study published in NeuroImage: Reports demonstrates that whole-brain Single Photon Emission Computed Tomography (SPECT) imaging, combined with advanced machine learning techniques ...