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This study develops and validates a multivariable prediction model to rank order adult heart transplant candidates by medical urgency.

Review highlights the potential of AI models in predicting cardiovascular disease risks but emphasizes the need for independent external validation to ensure their clinical applicability.

An external validation study evaluates the performance of a prediction model in new data, but many of these studies are too small to provide reliable answers. In the third article of their series on model evaluation, Riley and colleagues describe how to calculate the sample size required for external validation studies, and propose to avoid rules of thumb by tailoring calculations to the model and setting at hand. External validation studies evaluate the performance of one or more prediction mod...

External validation studies are an important but often neglected part of prediction model research. In this article, the second in a series on model evaluation, Riley and colleagues explain what an external validation study entails and describe the key steps involved, from establishing a high quality dataset to evaluating a model’s predictive performance and clinical usefulness. A clinical prediction model is used to calculate predictions for an individual conditional on their characteristics....

Evaluating the performance of a clinical prediction model is crucial to establish its predictive accuracy in the populations and settings intended for use. In this article, the first in a three part series, Collins and colleagues describe the importance of a meaningful evaluation using internal, internal-external, and external validation, as well as exploring heterogeneity, fairness, and generalisability in model performance. Healthcare decisions for individuals are routinely made on the basis o...

The authors developed and validated an accurate, well-calibrated, easy-to-implement COVID-19 hospitalized patient deterioration index to identify patients at high or low risk of clinical deterioration.

In a population based cohort study, Mette Tranberg and colleagues investigate the value of catch-up HPV testing in more than 45,000 eligible women from Denmark aged over 65 years.

Marpai has partnered with Oshi Health to offer virtual digestive care to self-funded employer health plans. Oshis model has been successful in providing positi

James Neal Russell and colleagues report a global neonatal sepsis observational cohort study (NeoOBS) exploring patterns of antibiotic use, pathogens and prediction of mortality in hospitalised neonates and young infants with sepsis.

Through petitions, we can reach those in power and demand justice for others. They are valuable tools for making positive changes in the world.