Analyst Insights and Signify Premium Insights

30th April 2024 – This series of Insights focuses on the applications of generative AI solutions. This is a precursor to a more in-depth analysis of Signify Research’s Generative AI Market Intelligence Service. In my first Insight, we defined what generative AI (gen AI) is and discussed the gen AI value chain and how the ecosystem is centred around big tech. To recap, gen AI is an AI built on a foundation model trained on a large corpus of unlabelled data. In contrast, traditional machine learning algorithms use labelled data and are trained to perform a specific task.

Cranfield, UK, 25th April 2024 - Over $5.3 billion has been raised by medical...

23 April 2024, Investment into AI-based software across medical diagnostics and clinical care has been notably boom-or-bust in the last decade. Radiology has long been the “poster child” for funding and penetration of healthcare markets, with over $5.6B raised to date resulting in well-known successes such as Heartflow, viz.ai, annalise.ai and Ultromics.

Over the last 12 months, Signify Research has tracked generative AI (gen AI) product announcements in healthcare to understand the most prevalent use cases and those lacking traction.

This insight provides an overview of the key developments witnessed at HIMSS from our teams that were in attendance in Orlando earlier this month. The insight is broken down into four areas of the healthcare technology industry:

Medical imaging AI is increasingly included within radiology IT tenders, with imaging IT vendors needing to address how the integration of AI image analysis tools into the workflow will be achieved.

Signify Research’s Generative AI Market Intelligence Service delivers thorough analysis and a reliable product database, empowering decision-makers with insights into use cases and competitive vendors within the realm of generative AI capabilities in medical imaging.

This series of Insights focuses on the applications of general AI solutions. This is a precursor to a more in-depth analysis of Signify Research’s Generative AI Market Intelligence Service and this is our third instalment of the series. As you may remember from the first Insight, the care network concept was introduced with three stakeholders: the patient, provider and payer.

Explore the landscape of Generative AI in Healthcare through an engaging interview between Alan Stoddart, Signify Premium Insights Generative AI Editor, and Vlad Kozynchenko, Senior Market Analyst and report author at Signify Research. This conversation covers crucial aspects of the Market.

Most commercially successful vendors within the medical imaging AI market have targeted the image analysis component of the radiology chain (see figure below). This is unsurprising, as image analysis represents the proportion of the chain where most clinical impact can be asserted, opening the doors to impacting clinical guidelines, gaining reimbursement and improving patient outcomes.

The Signify Research Generative AI Team and our Signify Premium Insights Generative AI Editor, Alan Stoddart, have compiled their top five predictions for this year’s Generative AI market.