mlsanityData to 14 Oct 2026

Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System

arXiv 1901.11210 ↗First posted 31 Jan 2019cs.CV cs.LG q-bio.TOcited by 12

Not on the map. Why?

Abstract (arXiv)

In order to bridge the gap between Deep Learning researchers and medical professionals we develop a very accessible free prototype system which can be used by medical professionals to understand the reality of Deep Learning tools for chest X-ray diagnostics. The system is designed to be a second opinion where a user can process an image to confirm or aid in their diagnosis. Code and network weights are delivered via a URL to a web browser (including cell phones) but the patient data remains on the users machine and all processing occurs locally. This paper discusses the three main components in detail: out-of-distribution detection, disease prediction, and prediction explanation. The system open source and freely available here: https://mlmed.org/tools/xray

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Jan 2019.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 8; 2022: 1; 2023: 2; 2024: 1.

12 papers.

  1. 2021TorchXRayVision: A library of chest X-ray datasets and modelscited by 131
  2. 2023Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?cited by 5
  3. 2021Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR imagescited by 3
  4. 2021RapidRead: Global Deployment of State-of-the-art Radiology AI for a Large Veterinary Teleradiology Practicecited by 3
  5. 2021A Novel Interaction-based Methodology Towards Explainable AI with Better Understanding of Pneumonia Chest X-ray Imagescited by 2
  6. 2021Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the Systemcited by 1
  7. 2021Impact of class imbalance on chest x-ray classifiers: towards better evaluation practices for discrimination and calibration performancecited by 1
  8. 2024INSIGHT: Explainable Weakly-Supervised Medical Image Analysiscited by 1
  9. 2021Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Imagescited by 0
  10. 2021An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray Imagescited by 0
  11. 2022Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcarecited by 0
  12. 2023On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR Imagescited by 0