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...