RESUMO
Radiologists today are under increasing work pressure. We surveyed radiologists in the United States across practice settings, and the overwhelming majority reported an increased workload. Artificial intelligence (AI), which includes machine learning, can help address these issues. It also has the potential to improve clinical outcomes and raise further the value of medical imaging in ways yet to be defined. In this article, we report on recent McKinsey & Company work to understand the growth of AI in medical imaging. We highlight progress in its clinical application, the investments that are backing it, and the barriers to broader adoption. We also offer a view on how the market will develop. AI is set to have a big impact on the medical imaging market and hence on how radiologists work, helping them to speed up scan time, make more accurate diagnoses, and ease their workload. As AI in medical imaging increasingly proves its worth, it is hard to imagine that AI will not ultimately transform radiology.
Assuntos
Inteligência Artificial , Diagnóstico por Imagem , Atitude Frente aos Computadores , Computação em Nuvem , Previsões , Humanos , Interpretação de Imagem Assistida por Computador , Processamento de Imagem Assistida por Computador , Investimentos em SaúdeRESUMO
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 exploded-by 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.