The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
ascopubs.org

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...
Medscape

AI Model May Help Predict Pediatric Sepsis Before Organ Dysfunction

New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...
Frontiers

Advancing Cardiovascular Risk Stratification with Machine Learning

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...

Flood disaster prediction using multi-scale deep learning and neuro-fuzzy inference

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change ...
Financial IT

Credolab Launches Income Prediction Model to Help Lenders Assess Creditworthiness Without Verified Income Data

Credolab, a global leader in behavioral and device metadata analytics, today announced the launch of its Income Prediction Model, a new machine-learning solution that enables lenders to estimate ...