Artificial intelligence in healthcareTransforming data into knowledge for better care

Leveraging AI for the future of healthcare poses challenges

Our Al-powered solutions address major challenges that are facing the healthcare field. Right now, the demand for diagnostic services is outpacing the supply of experts in the workforce. Developing solutions for managing this ever-increasing workload is a crucial task for the healthcare sector.

Diagnostic experts and physicians need a new set of tools that can handle large volumes of medical data quickly and accurately. AI-powered solutions can allow to make more objective treatment decisions based on quantitative data and tailored to the needs of the individual patient.

Shaping the future of digital health with our AI-powered solutions

AI is a key technology for digitalizing healthcare and enables you to transform care delivery, expand precision medicine and improve the patient experience. We have developed a portfolio of more than 70 AI-powered solutions that help to automate and standardize not only workflows but also complex diagnostics to meet the needs of the individual patient. Learn more about our latest AI-powered offerings that will shape the future of healthcare:

Key concepts of AI at a glance

Artificial intelligence (AI) is a computer-aided process for solving complex problems. It involves machines mimicking cognitive functions typically associated with the human brain.1 Some examples are machine vision, pattern recognition, speech recognition, and knowledge-based decision-making in the broader sense. Distinctions are made here between classic algorithms, which follow paths that are permanently fixed by the programmer, and applications of machine learning which identify solutions independently based on supplied data.
A special role is played by what is known as “deep learning”, which goes beyond what traditional machine learning algorithms can achieve. These algorithms are trained and improved by continuously adding high volumes of data, equipping them to keep improving their error rate performance expectations.

Traditional machine learning, deep machine learning, AI

Machine learning enables the machine to adapt to new circumstances and to detect and extrapolate patterns.1 Machine learning can be further divided into traditional machine learning and deep (machine) learning.

Traditional machine learning uses algorithms that are: hand-crafted, hard-coded, and designed to look for specific features. These are “specialized” and cannot easily be re-used for different tasks.

Deep (machine) learning is a type of machine learning that uses multilayer neural networks with multiple hidden layers between the input and output layers. These algorithms can identify relationships that may not have been recognized using traditional techniques.

Why we are a reliable partner for AI-powered solutions

We are the global leader when it comes to AI patent applications in medical imaging and have been a pioneer in AI development for more than 30 years. We own more than 450 active patents in AI related applications. With established AI expertise, future-oriented staff, vast medical data sets, and the exceptional computing power needed for creating algorithm-supported healthcare solutions, we have what it takes to leverage AI into clinical routine:

high quality data

High-quality data

High-quality data is a key ingredient for continuously improving results. Over the course of the last few years, Siemens Healthineers has invested in a dedicated structured reading team, building a database that can potentially access more than 1.2 billion curated images, reports, and clinical and operational data which are fed into and also used to train algorithms.

Powerful infrastructure

Powerful infrastructure

To advance AI and its algorithms, a high-performing infrastructure and powerful data centers are essential. Our vast array of regional data centers delivers this power. Our supercomputer “Sherlock”, at 100 petaflops, and this equals 100,000,000,000,000,000 computations per second (the number means 100 billiards)!Sherlock runs over 1,200 deep-learning experiments daily.

Strong partners

Strong partners

Close cooperation with our partners is essential to our success in these endeavors. Our partners are well-respected healthcare providers who work together with our team of hundreds of talented, award-winning AI and data scientists to achieve exceptional outcomes.