
AI-supported lung nodule management in routine practice meeting
Taunton, 8 March
Why you should attend:
Learn how to use AI in routine practice from your peers
Contribute to the development of AI solutions that meet your needs
Agenda
- 12:00 - 13:00 - Lunch (optional)
- 13:00 - 13:45 - Using AI in routine practice - cases presentation by TBC
- 13:45 - 14:00 - Q&A
- 14:00 - 14:30 - Why use AI for lung management in symptomatic patients, by Sunita Berry
- 14:30 - 15:20 - Veye Lung Nodules - user feedback interactive session
- 15:20 - 15:30 - Coffee Break
- 15:30 - 15:45 - Demo Veye Clinic
- 15:45 - 16:15 - Nodule Clinic Audit Presentation, by the Bath team
- 16:15 - 16:30 - Nodule Clinic: Q&A and feedback - round table discussion
- 16:30 - 17:00 - Aidence future road map
- 17:00 - 19:30 - Refreshments and light bites (optional)

Faculty
Renowned faculty will share their expertise on AI-supported lung nodule management in routine practice and be available to answer your questions.
Jonathan C. L. Rodrigues BSc(Hons), MBChB(Hons), MRCP, FRCR, FSCMR, PhD
Consultant Radiologist, Department of Radiology, Royal United Hospitals Bath NHS Foundation Trust, Honorary Senior Lecturer, Department of Health, University of Bath

Sunita Berry
Managing Director, the Peninsula Cancer Alliance
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About Aidence
Founded in 2015 and headquartered in Amsterdam, the Netherlands, Aidence rallies 90+ data scientists, software engineers, medical, regulatory, and business professionals to provide artificial intelligence (AI) solutions for the lung cancer pathway.
Aidence’s Veye Lung Nodules is a CE certified solution for automated pulmonary nodule management on chest CT scans. Veye Reporting standardises quality reporting in lung cancer screening programmes.
The solutions analyse thousands of CT scans each week, with customers in seven European countries, including France, the Netherlands, and the United Kingdom.
The company is a subsidiary of RadNet, a leading US provider of diagnostic imaging services.
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