Shaping Life-Saving Innovation in Breast Imaging with AI: How DANAI Technology is Transforming Breast Cancer Care
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From early cancer diagnosis to personalized therapies and accelerated drug development: these are just a few examples of how artificial intelligence (AI) can make medicine more powerful, efficient and safer in the future. Around the globe, researchers are working feverishly on new AI-powered software tools to optimize the entire healthcare process – from prevention to diagnosis, therapy and follow-up. In this article, we show examples outlining what AI is already accomplishing in medicine and the breakthroughs that await us.
Artificial intelligence (AI) in medicine: a subject that’s polarized the public and raises alarm as well as high expectations. However, our lives have already undergone unseen digital transformations in a host of different ways – not just through AI, but also Big Data. We speak to smart speakers and to our smartphones or receive personalized training tips from our fitness trackers. There’s barely a field that has a higher complexity and data-use than medicine – and that makes it a prime area for applying artificial intelligence. There are many myths circulating about the opportunities and risks of using AI in medicine – but these don’t always stand up to a reality check.
Our healthcare system is creaking under the pressure of multiple strains: lack of personnel, cost pressures, and the aftereffects of a global pandemic. Artificial intelligence (AI) could make the future of medicine more efficient, precise and safe – and at the same time drive the systemic changes that are so urgently needed. What tasks are self-learning systems taking on now, and what could they potentially do in the future? We give an overview of the situation.