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.
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 ...
Kennesaw State University

Projects to look for at the Spring Symposium of Student Scholars

The Office of Undergraduate Research organizes the Symposium of Student Scholars twice per year, offering students a unique ...
Bored Panda on MSN

47 things scientists suspect are true but are not yet proven as fact

We once believed the Earth was flat. Nowadays, we're sending crews to space, inventing cures for strange diseases, and ...

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, ...

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 ...
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.