Proud of our scientific and AI leadership at the European Congress of Radiology

The European Congress of Radiology, which took place in Vienna from March 1-5, provided an excellent platform for Unilabs' radiologists to showcase their scientific and AI leadership. We had an impressive line-up of speakers, including: 

• Kristina Lång, who presented the results of her study called MASAI (Mammography Screening with Artificial Intelligence), a breakthrough in cancer screening. 
• Erik Thimansson, who presented his study 'Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI.' 
• Carlos Schorlemmer and Zoran Rumboldt, who participated in a session on degenerative spine imaging. Zoran was also appointed Chair of the Neuroradiology committee at the ECR and had an AI session on brain haemorrhage and infarct. 
• Roar Pedersen, who moderated an interesting session on "Imaging of Sarcopenia" and delivered a high-level lecture on "Injuries in the Lower Limb." 
• Serge Sintzoff, who spoke about how a deep learning algorithm for fracture detection can accelerate patient management at the radiology department and emergency room in a session about AI in trauma and ortho X-ray. 
• Geraldine Dean, who talked about putting together an AI team and implementing AI tools in a hospital setting. 
• Merel Huisman, who presented the advantages of structured reporting (SR) within radiology. 
• Martina Martins Favre, who talked about the application of a prostate AI solution at Imagerive. 
• Gerald Lip, who discussed the prospective mammography AI study he is currently starting in the UK with up to 60,000 patients. 
  
   

Another area generating a lot of buzz was AI decision support for radiologists. With the shortage of radiology reporting capacity in Europe, there is a pressing need for a bolder AI approach to reduce the workload on our radiologists. Identifying the areas where AI has the potential to significantly release reading capacity, such as chest radiograph reporting and mammography screening, is critical to this effort. 

To take these big steps safely, we need high-quality AI performance data to prove safety and build trust. Unfortunately, prospective clinical trials data is often lacking in this area. Nevertheless, at Unilabs, we are proud of our team members who are contributing to moving the field forward through research excellence. 

One example is Dr Kristina Lång from Unilabs Sweden, who presented results from the first large prospective randomised clinical trial on AI-supported mammography screening. Her research is a testament to the power of innovation and collaboration in advancing patient outcomes and reducing the workload for radiologists. We are thrilled to see the impact that this research will have on the future of diagnostic imaging and patient care, and we look forward to further breakthroughs in this exciting field." 

Overall, the event was a resounding success for Unilabs, and we are proud of our contributions to the advancement of diagnostic imaging and patient care. 

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https://www.linkedin.com/pulse/proud-our-scientific-ai-leadership-european-congress-radiology