With its ability to solve complex challenges, Artificial Intelligence (AI) is one of the key areas that’s revolutionizing medical practice. Across the US, applications of AI in healthcare, particularly AI in ultrasound, are increasing at a rapid pace and according to some estimates, the investment in healthcare AI is expected to reach a staggering $6.6 billion by 2021.1,2
Amongst the most well-known challenges found within healthcare we can include; high costs, wastage of investments (25% of US healthcare spending is wasted),3 operational inefficiencies, and growing pressure to manage an ever-increasing volume of patient and staff information while also ensuring data security standards.4 Yet, at the center of all this, there is one vital concern – how can patient care be optimized and patient outcome be improved?
This is where the use of AI in ultrasound comes into play. Here, AI-based solutions are being implemented to improve patient outcomes through increasing accuracy of diagnoses and supporting in decision making. The use of deep learning in medical imaging, for instance, helps the patient get a seamless, integrated and personalized experience in their treatment journey.
Here, we’ll explore in detail the ways in which AI medical imaging and ultrasound innovations can improve both staff’s workflow and daily routine as well as – and most importantly – patient diagnosis and outcome.
