Molecular imaging logo for artificial intelligence.

AI in Molecular ImagingAI-powered algorithms to drive MI further.

Robust AI-powered algorithms can be used to drive clinically relevant and actionable information in a way that is quantitative, accurate, reproducible, and outcome-oriented clinical decision-making. Additionally, AI-powered algorithms may increase standardization that provides efficient automation and more operator-independent actions.

Thanks to already implemented innovative and forward-thinking technologies and the now available increased computing power, we can bring practical AI implementations to both scanners and reading solutions.


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AI scanner features

Molecular imaging PET/CT scanner Biograph Vision.

AI-powered algorithms are integrated seamlessly on our Biograph™ PET/CT scanners with AIDAN1, our intelligent imaging solution. Several AI-powered features are available, such as

AI syngo.via features

Our syngo®.via reading solution features AI-powered applications to support automated clinical analysis of PET and SPECT images such as:
Lesion Scout with Auto ID2

Data courtesy of Seeland University Hospital, Naestved, Denmark.

Within 10 seconds and with 92% accuracy automatically assess an entire patient data set, segment all uptake, identify the foci of interest, and process a selection of foci to be excluded and included from the findings creation.

AI auto lung

Data courtesy of University Hospital Basel, Basel Switzerland.

In just 45 seconds, automatically locate and contour lungs in 3D, segment right/left lung lobes, quantify ventilation/perfusion, and generate a report containing the percentage of total perfusion and volumes.

Siemens Healthineers AI

AI infographic showing AI, machine learning, and deep learning.

Artificial intelligence (AI) is transforming care delivery and expanding precision medicine. We have served as a pioneer in AI development for more than 20 years and the new deep learning technology now enables us to automate complex diagnostics and support optimal treatment.

Siemens Healthineers has been involved in the field of machine learning since the 1990s. We own more than 500 patent families related to machine learning; more than 125 patent families thereof are related to deep learning. More than 40 offerings on the market are AI-powered.

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