Open Heart

Cardiac CT in the era of artificial intelligence: precision imaging, treatment guidance and optimised risk stratification for coronary artery disease

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Breakthrough in AI-Powered Insurance Fraud Detection: New Study Shows Hybrid Models Cut Losses and Boost Accuracy

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Advancing AI By Nesting Minds Inside The Layers Of Machine Learning And LLMs

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
Albert Lea Tribune

The Smoking Tree owner files with Court of Appeals over council's decision

The owner of The Smoking Tree on Wednesday filed an appeal with the Minnesota Court of Appeals regarding the Albert Lea City Council's decision to deny his cannabis retail registration, arguing that ...
IEEE

Learning and Application of Different Machine Learning Methods (KNN, SVM, Decision Tree) in Different Datasets

With the continuous development of artificial intelligence, machine learning has shown great ability in classification and regression problems. For example, logistic regression, SVM methods, and ...
GitHub

Prediction of stroke using Support Vector Machine (SVM) and Decision Tree (DTREE).

The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...