Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography

Overview of attention for article published in Journal of Clinical Oncology, January 2023

Altmetric Badge

About this Attention Score

In the top 5% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#12 of 22,316)
High Attention Score compared to outputs of the same age (99th percentile)
High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news: 123 news outlets
blogs: 3 blogs

twitter: 137 X users
facebook: 1 Facebook page

Citations

dimensions_citation: 57 Dimensions

Readers on

mendeley: 120 Mendeley

Summary News Blogs X Facebook Dimensions citations

So far, Altmetric has seen 3 posts from 3 blogs.

MIT Develops AI that Predicts Lung Cancer Risk up to 6 Years in Advance, Like Finding a ‘Needle in a Haystack’

Good News Network, 11 Feb 2023

Researchers at MIT (Massachusetts Institute of Technology) have developed a new AI deep learning model that can predict lung…

Model Can Accurately Predict Future Lung Cancer Risk From Low-Dose CT

Physician's Weekly, 19 Jan 2023

WEDNESDAY, Jan. 18, 2023 (HealthDay News) — A deep learning model can accurately predict future lung cancer risk from a single…

A deep learning model may predict future lung cancer risk from a single low-dose chest CT

SPECIALTIES, 18 Jan 2023

Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography …

This page shows the most recent blog posts that mention this research output.

Click here to find out how to access more activity.