X-Raydar
An open-source AI algorithm that automatically detects 37 radiological findings on chest X-rays in real-time, trained on over 2.5 million studies from the NHS.
Try X-Raydar Online GitHub

About

X-Raydar is a deep learning system trained on over 2.5 million chest X-ray studies from six NHS hospitals across the UK, spanning 13 years of clinical data. Given a chest X-ray, it automatically screens for 37 radiological findings and returns a probability for each — in real-time.

It can be used to prioritise urgent cases, flag abnormalities for radiologist review, or as an automated second-reader. Upload a DICOM image to the online platform and receive a full report in seconds.

X-Raydar is freely available to the research community for non-clinical evaluation via our online platform.

This project was funded by a Wellcome Trust Innovator Award.

Team

Giovanni Montana
Principal Investigator, Professor of Data Science
University of Warwick
Vicky Goh
Co-Investigator, Professor of Cancer Imaging
King's College London
Charles Hutchinson
Professor of Imaging
Univ. Hospitals Coventry & Warwickshire
Maria Liakata
Professor of NLP
Queen Mary University of London
Yashin Dicente Cid
Postdoctoral Researcher
University of Warwick
Matthew Macpherson
Ph.D Candidate
University of Warwick
Giuseppe Franco
Ph.D Candidate
University of Warwick
Yuanyi Zhu
Ph.D Candidate
University of Warwick
Ruggiero Santeramo
Ph.D Candidate & Software Engineer
University of Warwick
Louise Gervais-Andre
Radiologist
King's College London
Chee Lim
Radiologist
Univ. Hospitals Birmingham
Ian Selby
Radiologist
University of Cambridge
Keerthini Muthuswamy
Radiologist
Guy's & St Thomas' NHS Trust
Ashik Amlani
Radiologist
Guy's & St Thomas' NHS Trust

Taxonomy of Findings

37 radiological findings detected by X-Raydar, based on the Fleischner glossary and RadLex terminology.

FindingGlossary TermExamples in Free Text
Lungs
Parenchymal opacificationConsolidation, AirspaceConsolidation; airspace opacification; batwing shadowing; pulmonary oedema
Interstitial opacification / FibrosisReticular pattern, HoneycombingInterstitial shadowing; fibrosis; Kerley B lines; septal thickening
Ground-glass opacityGround-glass opacityGround glass opacity; ground glass change
Parenchymal mass or noduleMass, Nodule, OpacityLung mass; pulmonary nodule; lung metastases
CavityCavityCavitation; cavity; cavitating lesion
BullaBullaBulla; bullae; lung lucencies
EmphysemaEmphysemaEmphysema; emphysematous change
Hyperexpanded lungsAir trappingHyperexpanded lungs; hyperinflation; large lung volume
Bronchial changesBronchiectasisBronchiectasis; bronchial wall thickening
Collapse / Volume lossCollapseLung collapse; decreased lung volume
AtelectasisAtelectasisAtelectasis; atelectatic bands; linear atelectasis
Apical changesApical capApical thickening; apical fibrosis
Pulmonary blood flow redistributionPulmonary blood flow redistributionUpper lobe diversion; prominent upper lobe vessels
Mediastinum & Hila
PneumomediastinumPneumomediastinumAir in mediastinum
Mediastinum, displacedMediastinal compartmentsMediastinal shift
Mediastinum, widenedMediastinal compartmentsMediastinal widening
Hilum / Paratracheal changesHilum lymphadenopathyHilar enlargement; hilar lymphadenopathy
Pleural Space
PneumothoraxPneumothoraxPneumothorax; tension pneumothorax
Pleural effusionPleural spacePleural effusion; pleural fluid; blunting of costophrenic angle
Pleura, abnormalityPleural plaquePleural plaques; pleural thickening; pleural scarring
Diaphragm
Diaphragm, abnormalityDiaphragmElevated hemidiaphragm; eventration of diaphragm
Cardiovascular
CardiomegalyEnlargement HeartCardiomegaly; heart enlarged; large heart
Cardiac calcificationCalcification HeartCoronary artery calcification
DextrocardiaDextrocardia; situs inversus
Aortic calcificationCalcification AortaCalcification of the aorta
Aortic tortuosityTortuous AortaUnfolding of the thoracic aorta
Osseous Structures & Chest Wall
Fracture, ribFracture RibRib fracture
Fracture, clavicleFracture ClavicleClavicle fracture
Bone, lesionBone-forming neoplasmBone metastasis
ScoliosisScoliosisScoliosis; kyphoscoliosis; kyphosis
Mass, paraspinalMass ParaspinalParaspinal density
Skin & Soft Tissue
Emphysema, subcutaneousEmphysema, SubcutaneousSubcutaneous emphysema; surgical emphysema
Mass, soft tissueMass, Soft tissue densityAxillary mass; axillary lymphadenopathy
Abdomen
Bowel, dilatedBowel DilatedDilated bowel loops; distended stomach
PneumoperitoneumPneumoperitoneumPneumoperitoneum
HerniaHerniaHiatus hernia
Other
Abnormal, not clinically importantNormal variantGranuloma; pectus deformity; anatomical variant
Medical objectMedical Object
Normal anatomyNormal anatomy

Based on the Fleischner Society glossary and RadLex terminology.

Citation

If you use X-Raydar in your research, please cite:

YD Cid, M Macpherson, L Gervais-Andre, Y Zhu, G Franco, R Santeramo, et al. Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study. The Lancet Digital Health, 6(1), e44–e57, 2024.

University of Warwick King's College London Wellcome Trust UHB UHCW UHL