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 ...

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, ...
Oncology Nurse 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.
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 ...
The Cool Down on MSN

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

"This will allow doctors to make more informed decisions about the best way to treat patients." ...