Evidence-based review of novel clinical AI applications in musculoskeletal radiology

Dr. Sergey Morozov, Chief Innovation Officer at Osimis analysed and weighed in on the findings from several studies on artificial intelligence methods in musculoskeletal radiology, mostly for fracture detection. These articles have been selected for review based on their clinical significance and citation indexes of the journals.

The Cost and Value of AI for radiology – what is the healthcare tipping point?

Why would you want to integrate AI, and how do you go about it? Is there really something in it for everyone? AI expert Prof. Dr. Erik Ranschaert shares all you need to know and sums up the real value AI brings to healthcare professionals in every hospital department.

Liberating insights from JFR 2022 and the 2022 EuSoMII Annual Meeting – the Osimis recap on the sea change in the AI mindset

Osimis’ Chief Innovation Officer gives us a recap on his trips to Paris and Valencia for two exciting in-person events, JFR 2022 and EuSoMII, respectively. Learn more about Sergey’s takeaways from these shows and discover the state of play of AI in radiology towards the end of 2022.

When information source LN24 asks how AI is impacting business and radiology, we comply

AI in Belgium and beyond. Belgian Media House LN24 was looking for AI specialists in Belgium to weigh in on the trends and realities of AI. As a radiology tech frontrunner we never miss out on a chance to promote better health care through better tech care.

Leveraging the #ECR2022 intel – the Osimis recap on the future of AI in radiology

ECR 2022 wasn't just about meeting people, it was about gaining key insights in the future of AI. Read on to discover our 5 takeaways from the show.

Meta-analyses of novel clinical AI applications in paediatric imaging – an evidence-based review

This blog will also be the first of many insights on the future of AI in radiology from the team here at Osimis. The topics covered in this blog by Dr. Sergey Morozov (Chief Innovation Officer at Osimis) include developments in paediatric chest x-ray evaluations, paediatric fracture assessment, paediatric brain tumour imaging and radiation dose optimisation.

Evidence-base for novel clinical AI applications review - July 2022 edition

In this issue of the series we summarize several recent meta-reviews on computer vision software applied for the imaging of prostate, breast and gastroesophageal cancer. The selection of the artic...

The business and science behind AI in healthcare – a Q&A with Peter Morel and Dr. Sergey Morozov

The use of artificial intelligence is on the rise across countless industries, and healthcare is certainly no exception. And with more and more hospitals and practices beginning to see the bene...

Setting the stage for AI - an Interview with Dr. Erik Ranschaert

In recent years, artificial intelligence (AI) for medical images has made significant progress, mainly thanks to advances in Machine Learning (ML) and Deep Learning (DL) coupled with a mas...

How a platform-independent approach can reduce the complexity of AI adoption for the IT department

There are multiple vendors that requires integration with the PACS and that requires the deployment of multiples servers to host integration technology. Therewith increasing the risk of secur...

Smooth process for an organised, seamless dataflow

The potential for artificial intelligence to streamline processes and deliver a seamless dataflow is increasingly being assessed by Radiologists and Clinicians for their day-to-day work...

imaging AI dedicated platforms vs. PACS vendor platforms

Vendor neutral artificial intelligence (VNAI) solutions such as the OSIMIS Platform offer greater flexibility and support for the clinical application of AI. The stated goal should be a long-term...