Three leading AI scale-ups – Aidence, ScreenPoint Medical and Thirona – have launched the informative video series “Opening the Black Box of AI in Medical Imaging”. Their aim is to close knowledge gaps and increase trust in imaging AI by explaining how this emerging technology can be applied in radiology. The collaboration is unique in the industry.
Solving the “black box” problem
Artificial intelligence is referred to as a “black box” because its inputs and outputs are visible, but not the workings in-between. It is often the cause of public distrust and lack of acceptance.
A recent survey of over 1,000 radiologists and residents found that the more respondents know about AI, the more likely they are to adopt it rather than fear replacement.
As front-runners in the MedTech industry, Aidence, ScreenPoint Medical and Thirona recognise their role in making AI comprehensible to healthcare professionals. They decided to bring their complementary insights together and answer frequent questions on AI in an innovative way.
One episode at a time
Each episode of “Black Box” covers one specific topic related to AI in medical imaging in approximately 10 minutes. The videos use a combination of animations and interviews with clinical, data science, regulatory, and industry experts.
The series starts with the basics: a short history of AI and how it differs from machine and deep learning. Mark-Jan Harte, Eva van Rikxoort and Nico Karssemeijer, founders of the three companies, explain what AI means to them. Watch the first episode here.
Future episodes will address the benefits and limitations of radiology AI, as well as algorithm development, validation, and certification. The series will also show real-world examples of AI applications in, for example, early breast and lung cancer detection.
Episodes will be available here over the coming months.
About ScreenPoint Medical
ScreenPoint Medical was founded in 2014 by Professor Nico Karssemeijer and Professor Sir Michael Brady. ScreenPoint Medical is helping to improve breast cancer survival rates by detecting cancers earlier so that treatment can be more effective and less invasive.
Thirona was founded in 2014 by Eva van Rikxoort and Bram van Ginneken, scientists at the Radboud University Medical Center in Nijmegen, the Netherlands. Their vision is to bridge the gap between academic developments in medical image analysis and clinical usability.