Scanning the Future of Medical Imaging

Abstract

The medical device industry is undergoing rapid change as innovation accelerates, new business models emerge, and artificial intelligence and the Internet of Things create disruptive possibilities in health care. On the innovation front, global annual patent applications related to medical devices have tripled in 10 years, and technology cycle times have halved in just 5 years. Connectivity has explodedby 2021, the world will have more than three times as many smart connected devices as people-and more and more medical devices and processes contain integrated sensors. In this article, we report on recent McKinsey (McKinsey & Company, New York, New York) work to map start-ups and trends shaping the future of medical imaging. We identify technology clusters with prospects of future growth, look at some of their cutting-edge practices, and consider what the implications may be for our specialty.

An Intelligent Future for Medical Imaging: A Market Outlook on Artificial Intelligence for Medical Imaging

“…McKinsey's Startup and Investment Landscape Assessment scan, described fully in our previous publication, identifies global investments in new companies that are using innovative technologies relevant to the medical imaging market [2]. Our latest scan showed investments in AI-based medical imaging companies reached $1.17 billion between January 2014 and January 2019.…”

“…We also offer a view on how the market will develop. This article builds on our 2018 review of emerging technologies in medical imaging published in this journal, when we identified AI as an important trend that would shape the medical imaging market of the future [2].…”

Artificial Intelligence and the Medical Radiation Profession: How Our Advocacy Must Inform Future Practice

“…The enormous quantity of imaging and associated data produced by the medical radiation sciences has sparked the interest of some of the largest technology companies in the world. AI firms are seeking to access patient data for the purpose of training deep learning algorithms to automate tasks such as image classification and segmentation [2][3][4]. Even the human trait of empathy is explored as a potential, reproducible quality to enhance the patients' experience via the use of ''chatbots'' [5].…”

“…For medical radiation technologists in Canada, the Canadian Association of Medical Radiation Technologists has initiated an AI subcouncil of the professional practice advisory council, working to seek advice and better educate their members surrounding this technology. Investment into AI research in medical imaging in 2019 is projected to surpass $500 million US dollars, a significant rise from the $80 million in 2016 [2,4]. Following the day-to-day developments of this field of research can be confusing and tiresome.…”

Simulação e validação de perfis de dose e seu uso para estimativa de grandezas dosimétricas para tomografia computadorizada

“…In these circumstances, CT is the three-dimensional imaging method of choice. Overall, new trends in medical imaging including new business models, artificial intelligence and the Internet of Things that create disruptive possibilities in health care can fund in this work (Alexander et al, 2019).…”