Future-proof Radiology: Safe Approach to Autonomous AI Diagnostics

The AIDF initiative provides a unique opportunity to address some of the biggest challenges faced by Radiology Departments throughout NHS England.

We would like to invite you to a 35 minute informal round-up of how Oxipit solutions directly address the challenge set by the AI Diagnostics Fund.

Join Us on October 6th (Friday), at 2:00 PM UK time.

Please register for this event via simple click below. The session(s) will be recorded if you cannot make it to the live event. We look forward to seeing you online!

Registration

Meeting agenda

Key Questions:
- Can you apply for full autonomous normal chest X-ray reporting operations via the AI Diagnostics Fund
- What value propositions for chest X-ray reporting are available in chest X-ray AI field:
  - How can AI address reporting backlog
  - How can AI improve efficiency of reporting
  - How can AI improve the accuracy of reporting
  - How can AI improve patient outcomes
- Key differences between CAD and devices for confident reporting of normal studies.
Solution overview/demonstration
- ChestLink design principles – use for preliminary and autonomous reporting of normals
- How does ChestLink look from radiologists perspective
- Step by step approach towards autonomous normals reporting workflows
- ChestLink safety procedures
Summary of clinical results and validation data
Deployment summary
Q&A

Keynote speakers

Erik R. Ranschaert, MD, PhD.
AI for radiology for chest XR: considerations for implementation

Dr. Erik Ranschaert is a radiologist at the St. Nikolaus Hospital in Eupen, Belgium, while also holding the position of visiting professor at Ghent University. With a strong focus on AI research, he collaborates with multiple institutions, including the Netherlands Cancer Institute, Tilburg University, VU Amsterdam, and Oxford University. During his tenure as President of the European Society of Medical Imaging Informatics (EuSoMII) from 2018 to 2021, Dr. Ranschaert was at the forefront of introducing education regarding the advancement of artificial intelligence for radiology. His extensive portfolio includes several scientific publications, delving into the development and integration of AI applications in radiology. Dr. Ranschaert actively participated in various books, co-editing and co-authoring works on imaging informatics, including the pioneering book on AI in Medical Imaging. His expertise extends to advising hospitals, startups, and companies on the development and utilization of AI for medical purposes, making him a respected authority in the field.

Naglis Ramanauskas, MD.
ChestLink in action: progression towards autonomous AI Reporting of normal chest radiography studies

Naglis Ramanauskas is a board-certified radiologist as well as a co-founder and Chief Medical Officer at medical imaging AI company Oxipit, based in Vilnius, Lithuania. Naglis has more than 8 years of experience in the development and testing of AI solutions for radiological tasks as well as implementing them into clinical practice. The focus of Naglis’ work is maximizing the added value of the AI algorithms in a real clinical environment. For the past 6 years Oxipit has been developing and implementing AI software solutions for the chest X-ray modality. Oxipit aims to provide a novel approach to utilize the value of AI for quality improvement with no disruption to existing radiologist workflows.