Clinical evidence

Scientific evidence is at the core of everything we do.

Clinical evidence

Scientific evidence is at the core of everything we do.

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24.08.23
Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy

Authors: Quinlan D. Buchlak, Cyril H. M. Tang, Jarrel C. Y. Seah, Andrew Johnson, Xavier Holt, Georgina M. Bottrell, Jeffrey B. Wardman, Gihan Samarasinghe, Leonardo Dos Santos Pinheiro, Hongze Xia, Hassan K. Ahmad, Hung Pham, Jason I. Chiang, Nalan Ektas, Michael R. Milne, Christopher H. Y. Chiu, Ben Hachey, Melissa K. Ryan, Benjamin P. Johnston, Nazanin Esmaili, Christine Bennett, Tony Goldschlager, Jonathan Hall, Duc Tan Vo, Lauren Oakden-Rayner, Jean-Christophe Leveque, Farrokh Farrokhi, Richard G. Abramson, Catherine M. Jones, Simon Edelstein & Peter Brotchie (remove hyperlinks)

2 MIN READ
Journal Article
10.07.23
Analysis of line and tube detection performance of a chest X-ray deep learning model to evaluate hidden stratification

Authors: Cyril Tang, Jarrel Seah, Hassan Ahmad, Michael Milne, Jeffrey Wardman, Quinlan Buchlak, Nazanin Esmaili, John Lambert & Catherine Jones

Abstract: This retrospective case-control study evaluated the diagnostic performance of a commercially available chest radiography deep convolutional neural network…

2 MIN READ
Journal Article
15.02.23
Machine learning augmented interpretation of chest X-rays: A systematic review

Authors: Ahmad HK, Milne MR, Buchlak QD, Ektas N, Sanderson G, Chamtie H, Karunasena S, Chiang J, Holt X, Tang CHM, Seah JCY, Bottrell G, Esmaili N, Brotchie P, Jones C

Abstract: Limitations of the chest X-ray (CXR) have resulted in attempts to create machine learning systems to assist clinicians and improve interpretation accuracy.

2 MIN READ
Reviews
27.01.23
Comprehensive deep-learning model on CT brain outperforms radiologist performance in the majority of findings

Authors: J. C. Y. Seah, C. Tang, M. G. Vasimalla, G. Bottrell, H. T. Pham, Q. Buchlak, J. Hall, S. Edelstein, P. Brotchie

Poster presented at European Congress of Radiology (ECR) July 13- 17 2022 in Vienna, Austria.

< 1 MIN READ
Conference Poster
16.01.23
How normal is a normal chest X-ray: Does a comprehensive artificial intelligence model identify significant findings in chest radiographs interpreted as normal in clinical practice?

Authors: Arpit Talwar

Poster presented at RSNA 2022 (W5B-SPCH-10)

Purpose: Chest x-ray (CXR) interpretation is one of the most subjective and complex of radiology tasks. Accuracy depends on the radiologists’ level of experience and training…

2 MIN READ
Conference Poster
19.12.22
Evaluation of an artificial intelligence model for detection of pneumothorax and tension pneumothorax in chest radiographs

Authors: James M. Hillis; Bernardo C. Bizzo; Sarah Mercaldo; et al

Importance: Early detection of pneumothorax, most often via chest radiography, can help determine need for emergent clinical intervention. The ability to accurately

2 MIN READ
Journal Article
17.11.22
Comprehensive CT Brain deep learning model performance meets the standard of care by radiologist-only performance for the majority of findings

Authors: J.C.Y. Seah

Scientific presentation was presented at the Radiological Society of North America (RSNA) November 27 – December 1 2022 in Chicago.

< 1 MIN READ
Conference Presentation
17.11.22
Tailoring radiologist behaviour by individualising F beta levels for predictions of an AI model

Authors: P. Brotchie, Q. Buchlak, C. Tang, J. Seah, S. Edelstein, J. Hall, A. Johnson, X. Holt, G. Bottrell, J. Wardman, N. Ektas, M. Milne, C. Chiu, M. Ryan, B. Johnston

Poster was presented at the Radiological Society of North America (RSNA) November 27 – December 1 2022 in Chicago.

< 1 MIN READ
Conference Poster
17.11.22
Successful implementation of a comprehensive CT Brain artificial intelligence assist device improves radiologist performance

Authors: P. Brotchie, Q. Buchlak, C. Tang, J. Seah, S. Edelstein, J. Hall, A. Johnson, X. Holt, G. Bottrell, J. Wardman, N. Ektas, M. Milne, C. Chiu, M. Ryan, B. Johnston

Poster was presented at the Radiological Society of North America (RSNA) November 27 – December 1 2022 in Chicago.

< 1 MIN READ
Conference Poster