Clinical evidence

Scientific evidence is at the core of everything we do.

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21.03.24

Cureus

A single case study highlighting the potential benefits of adopting decision-support AI solutions in radiology, flagging a pneumothorax on CXR with the potential to avoid additional CT examinations.

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Journal Article
21.03.24

Presentation at ECR 2024

Reducing CXR to follow-up CT for suspected lung cancer cases by 10 days (22 to 10.3 days) with high rates of sensitivity and specificity in a real life prospective clinical environment.

2 MIN READ
Conference Presentation
1.12.23

Presentation at RSNA 2023

Reasonable efficiency gains in teleradiology reporting time were observed through the deployment of a comprehensive AI algorithm as standard practice.

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Conference Presentation
1.12.23

Poster at RSNA 2023

The two AI algorithms demonstrated high diagnostic accuracy in a real-world dataset.

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Conference Poster
1.12.23

Presentation at RSNA 2023

Investigating a use-case to enhance patient osteoporosis risk characterisation using AI on CXR to improve patient care and management through the detection of unreported findings suggestive of osteoporosis.

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Conference Presentation
30.11.23

Poster at RSNA 2023

NLP and comprehensive AI discrepancy analysis can be a valuable approach to quality assessment and control.

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Conference Poster
30.11.23

Poster at RSNA 2023

Comprehensive decision-support AI can be a time-efficient and effective means of auditing large volumes of CXR studies for missed findings, potentially improving quality and patient care.

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Conference Poster
30.11.23

Poster at RSNA 2023

AI may improve patient outcomes with its high sensitivity, flagging findings omitted by radiologists’ reports for further evaluation.

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Conference Poster
30.11.23

Poster at RSNA 2023

AI output format may impact clinical performance while not necessarily matching with user preference.

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Conference Poster