Researchers developed an AI-powered ECG model, EchoNext, that detects structural heart disease with high accuracy across ...

While some business leaders buy large language models, others build their own. Here are five things you need to know.

Let’s start with a truth that too many people still overlook — not all data is good data. Just because something is sitting in a database or spreadsheet doesn’t mean it’s accurate, trustworthy, or ...

While the open-source Seismometer tool does not provide ROI metrics, it can surface insights on an algorithm's quality and utility, say early users at Michigan Medicine.

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Researchers from Radboud University Medical Center and King's College London present a comprehensive framework for validating ...

The burden then shifts to hospitals, which puts clinicians in a tough spot, relying on AI that might not generalize, with no ...

Artera Presenting Validation Data at 2025 ASCO Annual Meeting Highlighting How Multimodal AI Platform (MMAI) is Advancing Personalized Cancer Care ...

The studies presented by Artera add to the growing body of evidence that its MMAI platform can inform real-time clinical decisions and bring personalized cancer care to broader patient populations.

The estimated model was then applied to the testing data set (MESA) to evaluate external validation. Finally, performance of the ASCVD model was compared with the PCE in the derivation and validation ...

Patients were then randomly divided into a training set (n=180) for model development and a validation set (n=74) for internal validation. The laboratory data of the training set and validation set ...

Depending on the stage of development of the AI model, the data used falls into one of three categories: training data, test data and validation data.