Clinical 5

Artificial Intelligence

Lungscreen is at the vanguard of medical diagnostics, integrating advanced Artificial Intelligence (AI) technology to elevate the sensitivity and accuracy of our imaging analyses and reporting. By incorporating AI into our diagnostic processes, we provide our radiologists with an invaluable tool that augments their expertise, ensuring every patient receives the highest standard of care.

AI in Lung Nodule Detection and Analysis

Advanced Detection: Our AI algorithms are specifically trained to identify and characterise lung nodules within CT scans. This state-of-the-art technology works to flag potential areas of concern, assisting radiologists in early detection and accurate diagnosis.

Precise Characterisation: The AI not only detects nodules but also provides detailed metrics on their size, shape, and growth over time. This level of analysis is crucial for tracking nodule progression and informing potential treatment pathways.

AI in Chest X-Ray Examination

Comprehensive Review: Our AI extends its capabilities to the analysis of chest x-rays, identifying a broad range of abnormalities that may indicate pathology. This comprehensive review ensures that no significant finding is overlooked.

Incidental Findings: Lungscreen's AI technology is also adept at recognising incidental findings that could have clinical significance, such as vascular anomalies or cardiac pathologies. These findings are flagged for further clinical review, ensuring a holistic approach to patient health.

Report Generation AI

AI-Assisted Reporting: Beyond image analysis, Lungscreen leverages AI in generating preliminary reports. This AI-driven reporting system acts as an initial layer of review, providing radiologists with structured, detailed, and accurate draft reports that they can review and finalise.

Efficiency and Quality: This integration of AI in report generation not only streamlines the reporting process but also enhances the quality and consistency of the reports. It reduces the administrative burden on our radiologists, allowing them more time to focus on complex diagnostic tasks and patient care.

Quality Improvement with AI

Diagnostic Accuracy: The dual application of AI for both image analysis and report generation serve as a double check, increasing diagnostic accuracy and improving the overall quality of patient care.

Continuous Learning: Lungscreen's AI systems are designed with machine learning capabilities, meaning they continuously improve and refine their accuracy with each analysis performed, benefiting from the vast array of data processed over time.

Integrating Clinical Expertise: While AI provides a robust tool for enhancing diagnostic processes, at Lungscreen, the final judgment always rests with our human experts. Our radiologists utilise the AI's findings as an adjunct to their own analysis, ensuring that every report is the product of both advanced technology and professional expertise.

Through the innovative use of image analytic AI and report generating AI, Lungscreen is not just keeping pace with the future of radiology but actively shaping it. We’re committed to harnessing the power of AI to support our radiologists, enhance diagnostic accuracy, and, most importantly, improve patient outcomes in lung health.