AI in Medical Imaging to Reach $2 Billion in 2023


Using artificial intelligence in medical imaging will provide more personalized treatment planning and improve clinical outcome / Photo


The use of artificial intelligence in medical imaging is forecast to reach $2 billion by 2023, reports market research company, Signify Research.

The company noted that the market for machine learning, comprising the software for decision support and diagnosis, automated detection, and quantification, is set for robust growth.  The report likewise detailed that artificial intelligence will transform the industry of diagnostic imaging not just because it will provide a more personalized treatment planning, but will also improve the clinical outcome and increase the diagnostic accuracy.

Signify Research likewise said that after the introduction of deep learning technology, graphics processing units, affordable cloud computing, and storage, it will lead to a faster pace of development of the AI-based medical image analysis tools.

For the last 12 to 18 months, the enthusiasm and interest for AI in radiology have likewise increased. This gave rise to a new concept in the radiology community that AI is not a threat but a way to augment them. In the same way, there are other clinical apps that use AI to deliver a return on investment to the healthcare providers and improve the clinical outcomes. These include the use of the technology in diagnosing and detecting stroke, measuring the blood flow in coronary exams, and in the analysis tools.

Although the market holds great promise, Signify Research, however, reports that the regulatory process will remain challenging and there will be more validation studies that are needed in order to show the performance of AI and deep learning algorithms in the clinical settings.