The healthcare industry continues to be a hotbed of innovation, with activity driven by telemedicine, real-time diagnostics, smart hospitals and access to digital therapies, as well as the growing importance of technologies such as artificial intelligence (AI), the Internet of Things (IoT), augmented reality (AR), robotics and data management practices. In the last three years alone, there have been over 106,000 patents filed and granted in the healthcare industry, according to GlobalData’s report on Artificial Intelligence in Healthcare: Medical image display devices.
However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilising and reaching maturity.
Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.
200+ innovations will shape the healthcare industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the healthcare industry using innovation intensity models built on over 443,000 patents, there are 200+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, drug delivery device security, microscopic image analysis models, and cellular imaging techniques are disruptive technologies that are in the early stages of application and should be tracked closely. Smart balloon catheters, automated immunoassay analysers, and AI-assisted MRI are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas are smart fitness training system and non-invasive physiological monitoring which are now well established in the industry.
Innovation S-curve for artificial intelligence in the healthcare industry
Medical image display devices is a key innovation area in artificial intelligence
A medical display is a monitor that is designed to fulfil the stringent requirements of medical imaging. These display devices are often equipped with image-enhancing technology that assures steady brightness across the display's lifespan, noise-free pictures, ergonomic reading, and automated compliance with DICOM or other medical standards. The device encompasses a variety of technologies used to observe the human body to diagnose, monitor, or treat medical disorders.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 30+ companies, spanning technology vendors, established healthcare companies, and up-and-coming start-ups engaged in the development and application of medical image display devices.
Key players in medical image display devices – a disruptive innovation in the healthcare industry
‘Application diversity’ measures the number of different applications identified for each relevant patent and broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of different countries each relevant patent is registered in and reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to medical image display devices
Source: GlobalData Patent Analytics
Microsoft is one of the leading patent filers in the field of medical image display devices. Some other key patent filers in the field include Koninklijke Philips, Becton Dickinson, Teladoc Health and Sony Group.
In terms of application diversity, Ortho Kinematics leads the pack, followed by Wenzel Spine and NovaRad, respectively. By means of geographic reach, Becton Dickinson held the top position, followed by Abiomed and Ortho Kinematics in the second and third spots, respectively.
The image quality enhancements have improved healthcare quality by increasing efficiency, increasing diagnostic accuracy, adding functionality, improving training, and creating better health records.
To further understand how artificial intelligence is disrupting the healthcare industry, access GlobalData’s latest thematic research report on Artificial Intelligence (AI) in Healthcare.