Home Healthcare Breast Cancer Awareness Month: Q&A with Mark Koeniguer, CEO of ScreenPoint Medical

Breast Cancer Awareness Month: Q&A with Mark Koeniguer, CEO of ScreenPoint Medical

by WeeklyAINews
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In observance of Breast Most cancers Consciousness Month, we needed to get some AI insights from our companions at ScreenPoint Medical, a number one firm that develops and markets picture evaluation and machine studying functions and companies to enhance early detection of breast most cancers.

How is AI impacting breast most cancers screenings?

Deep studying AI is having a transformative impression in healthcare and we all know as an organization that breast screening is one space the place it will probably add actual worth within the brief time period.

Whereas there are giant numbers of ladies being screened, there are actually solely about 5 to six detected cancers per 1,000. This implies the radiologists need to be on their sport on a regular basis with an ever growing workload compounded by complexity of accessible imaging modalities akin to 3D mammography. That is set towards a world backdrop the place there simply aren’t sufficient breast radiologists accessible and burnout is on the speedy rise.  

From a medical standpoint, it’s very simple. Our purpose is to offer resolution assist to clinicians in two key methods and these are supported by a wealth of unbiased peer-reviewed medical publications:

Growing the early detection of breast most cancers 

Studying mammograms with assistance from Transpara Breast AI will help detect as much as 45% of interval cancers. We have now 3 giant research from Sweden, Netherlands and Denmark which have proven that Transpara helps with earlier detection particularly on mammograms with minimal indicators.

Flagging excessive danger instances

Whereas our AI identifies as much as 70% of screening exams as regular, it additionally highlights the instances which might be within the high-risk class. ScreenPoint helps radiologists focus extra time on the exams that want it. In medical settings, our algorithm can considerably cut back workload, lower studying time, and assist cut back pointless callbacks. We have now labored and proceed to work with a number of organized screening applications who’re at the moment utilizing our AI prospectively to handle the scarcity of radiologists and improve their most cancers detection statistics. 

How can we drive wider adoption of AI for breast most cancers screening?

We all know and perceive how difficult such a change to AI can appear. Regardless of these challenges, ScreenPoint has labored extensively with organized screening applications, giant healthcare teams and small websites to implement. We proceed to work with and take heed to our prospects whereas understanding their wants and the complexity of their workflows.Their suggestions guides our improvement program.

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Seamless integration is significant for adoption and a subject our improvement workforce holds near its coronary heart, working with a large portfolio of distributors to ship sensible options. Vendor neutrality isn’t just for the PACS and workstations but additionally essential for the main 2D and 3D mammography items which might be in use.

To place this into perspective, what’s the level of being suitable with solely 2D when you find yourself utilizing 3D? Or in case you have blended vendor mammography items, you may solely use AI on one supplier and never the others?    

In right now’s market, we’re seeing a floor swell in screening applications pushed by 2 principal issues:

  • Organized screening applications see the massive quantity of unbiased medical proof and displays on the secure potential use with our answer. They’re listening to from many nations in regards to the nice outcomes from the early adopters and are underneath growing stress in their very own nations as they’re seen to be falling behind.  Many are actually evaluating breast AI with the belief of how vital that is for the way forward for their very own healthcare provision. 
  • Organizers of proactive screening applications are approaching us to discover a extra environment friendly and higher means of screening. Attributable to confidentiality, we can’t reveal a lot about this however we will say the wealth of medical proof opens plenty of alternatives to carry AI to the struggle towards breast most cancers.

What worth does ScreenPoint see in partnering with different AI suppliers?

From our perspective, we is not going to take a scattergun strategy in relation to deciding on companions. We comply with strict standards and can solely accomplice with the choose group who’re aligned with the suitable strategy, values, working collaboratively to assist our prospects discover the very best answer. We solely take into account partnering with organizations that share our values and requirements of efficiency. One other vital standards pertains to seamless integration as that is an space that may be troublesome for our prospects.   

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Take Aidoc for instance, they overview the AI options and assess which answer is essentially the most sturdy when it comes to medical proof, regulatory clearances and plenty of different standards earlier than partnering and we do the identical. In addition they have a look at the impression of integration right into a services workflow, making certain they’re assembly the shoppers wants, lowering any backlog issues with their new software program platform.  

Aidoc’s working system (aiOS) makes plenty of sense, and their consideration to element on safety is second to none. These advantages of safe deployment and partnering to strategy the market is strictly what we search for. We carry our experience within the breast discipline with our clinically confirmed answer and along with Aidoc, we’re stronger and higher.

What do you suppose the way forward for healthcare AI appears like? The place would you prefer to see it go for affected person profit?

The AI hype continues to be robust, and we don’t wish to play in that world. AI has been round for a very long time. It’s in our every day lives, the on a regular basis instruments we use, and has been in medical gadgets for a very long time. Nonetheless, I imagine we’re nonetheless within the early days of AI adoption resulting from built-in options, and third celebration builders nonetheless growing options for the complexities of a seamless integration between a number of distributors.

With that mentioned, we proceed to see spectacular milestones for our AI answer. Worldwide, now we have processed over 3 million girls’s mammograms and prepared the ground in medical proof with the most important variety of unbiased internationally acknowledged peer-reviewed publications of any deep studying breast AI answer.

Thus, it’s clear that AI supported medical resolution making is right here to remain. The truth is, I imagine these clinicians adopting and leveraging AI instruments inside their practices will profit by way of larger ranges of detection, prediction, and analysis whereas bettering productiveness. Finally, this can make these imaging practices who undertake AI options as a accomplice within the breast well being continuum extra aggressive than those that select to not. 

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We’re going to proceed working with clinicians within the US and all over the world to attempt to ensure as many breast cancers as potential are discovered on the earliest phases. So collectively, we will help to enhance survival charges and be sure that each lady receives the world class care she deserves.

About ScreenPoint Medical

ScreenPoint Medical was based in 2014 by Professor Nico Karssemeijer of Radboud College Medical Heart in Nijmegen, The Netherlands and Professor Sir Michael Brady of Oxford College, United Kingdom. Their purpose was to harness the ability of Synthetic Intelligence to scale back the rising demise toll attributable to breast most cancers.

They needed to develop and convey to the market revolutionary machine studying options to enhance breast most cancers screening and analysis. With a workforce of specialists in machine studying, picture evaluation, and breast imaging, ScreenPoint Medical developed the market main AI software program, Transpara®, for studying mammograms.

Scientific research present that the FDA cleared resolution assist software program matches skilled radiologists in detecting early breast cancers and permits them to enhance high quality and effectivity of breast most cancers screening. Transpara is already utilized in a whole bunch of clinics in 30 nations worldwide.  The effectiveness of Transpara has now been endorsed by extra peer reviewed printed analysis papers than another breast AI answer.

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