The use of artificial intelligence (AI) in medical imaging will support the development of advanced diagnostics.
FORMAT, CA: The workflow advances in medical imaging technology and the use of artificial intelligence (AI) tools are set to help technologists and radiologists in the coming years. Supply chain management will be essential in 2022, and any disruptions will affect all vendors. Supply chain management will be one of the most important differentiators of 2022 in the context of a situation where production challenges hinder vendors from converting their overflowing order books into revenue. Larger suppliers will also hasten the democratisation of medical imaging. Young startup manufacturers have so far guided medical imaging's transition away from conventional imaging settings. But this year, more powerful responses from larger manufacturers will accelerate the democratisation of medical imaging.
Vendors and service providers will also concentrate on developing improved imaging systems. Vendors will likely be eager to focus on advanced modalities in 2022 as a result of recent advancements in advanced modalities like CT and MRI, as well as the increased income potential they have generated. However, as MRI and CT use increases, doctors will devote more time and resources to their patients. The most recent workflow technologies available from manufacturers will aid in reducing these drawbacks, which assumed substantial importance in the wake of the disruptive pandemic.
Along with radiologists, technicians will massively benefit from AI. The use of AI in medical imaging is primarily employed for picture reading. Vendors are expected to release new solutions in 2022 that will help capture the picture and address the pervasive issue of staff shortages. In 2022, it's anticipated that companies will concentrate more on structured data aggregation as both suppliers and providers started to realise the numerous growth possibilities that data offers. There will be business opportunities to take advantage of the need for real-world data needed to support medication development and companion diagnostics.
Additionally, Signify anticipates that by 2022, pathology will have a bigger impact on medical imaging IT. Digital pathology is expected to become more important as enterprise imaging technologies develop. Primary use applications will only be tenable for the majority of imaging IT suppliers through partnerships, which are anticipated to gain more traction this year. In 2022, Signify predicts a blurring of the lines between AI product categories. AI solutions often fall into one of three categories: comprehensive solutions, end-to-end solutions, body-area suites, and workflow packages. The distinctions between these solutions are anticipated to become less clear in 2022 as imaging IT vendors and providers take a more prominent position in the industry.