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    Artificial Intelligence

    How AI is already improving healthcare today

    When we use AI, it builds on real clinical and operational data to support better decision-making. Our team of experts develops, trains, and validates our AI algorithms while upholding data privacy and prioritizing data quality. From radiation therapy planning to hospital operations and treatment monitoring, these three examples show how AI is already helping care teams in everyday practice.
    Published on March 3, 2026

    AI-supported organ contouring

    Every radiation plan starts with organ contouring: mapping the tumor and organs-at-risk to spare healthy tissue from radiation.

    Contouring tumors and organs-at-risk before radiation therapy is essential, but highly time-consuming. 

    AI can generate an initial draft to support that process. This not only saves time, but also helps create a more consistent baseline across clinicians. 

    Everyone starts from the same reliable foundation, and treatment planning can build on that consistency. Our solutions help healthcare organizations harness the benefits of artificial intelligence in healthcare delivery.

    Interested in learning more?

    Find all information about our AI-powered autocontouring solutions.

    Explore here

    AI for simulating hospital operations

    What if a hospital could test thousands of decisions before making a single one?

    A virtual version of a hospital department brings together data hospitals already use, such as workflows, dependencies, and day-to-day realities.

    AI uses this data to simulate millions of scenarios and identify strategies that can help optimize staffing, reduce delays, and improve patient flow.

    Teams can review these insights, assess what fits their environment, and test potential changes in the simulation before implementing them in real life. AI-driven Operational Twins can help hospitals to optimize the orchestration of their departments.


    Want more information?

    Explore the real-world impact of AI-powered healthcare here.

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    AI in cardio-oncology monitoring

    Cancer treatment and cardiovascular disease can intersect. Some therapies carry a risk of cardiotoxicity that needs close monitoring.

    Cardiovascular disease can be a serious side effect of cancer therapy.

    AI-enhanced ultrasound and cardiac imaging can help monitor the risk of cardiotoxicity in affected patients.

    By combining clinical data, imaging findings, oncology history, and biomarkers, AI supports early risk assessment. This helps clinicians better understand the impact of cardiotoxic therapies on the heart and make informed decisions throughout care. AI creates value by automating procedures and is enabling truly personalized care.

    Get more real-world insights

    Artificial Intelligence

    “AI-supported software gives us more confidence in cancer care”

    Artificial Intelligence

    From innovation to impact: How AI elevates patient care

    1. The products/features and/or service offerings mentioned here are not commercially available in all countries. If the services are not marketed in certain countries due to regulatory or other reasons, availability cannot be guaranteed. Please contact your local Siemens Healthineers organization for further details.

    2. The statements by customers of Siemens Healthineers described herein are based on results that were achieved in the customer's unique setting. Because there is no “typical” hospital or laboratory and many variables exist (e.g., hospital size, samples mix, case mix, level of IT and/or automation adoption) there can be no guarantee that other customers will achieve the same results.