Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
KOMU 8

MU research shows AI outperforms traditional heart risk assessment models

A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...

New AI tool can predict heart failure five years early with 86% accuracy

Experts at the University of Oxford have found a way to use artificial intelligence to predict the future as part of ...

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Cancer Therapy Advisor

Enhanced LDCT Lung Cancer Prediction Model Combines Clinical Data, Deep Learning

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.
StudyFinds on MSN

AI disease prediction may catch illnesses before symptoms even start

In A Nutshell AI tools that track how the body’s molecular networks change over time may detect diseases like cancer, ...
Morning Overview on MSN

Many AI disease-risk models trained on flawed health data

Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...