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Check out the new eBook: Artificial Intelligence in Lung Cancer Screening Imaging Download now

Download the AI in Lung Cancer Screening Imaging

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Radiologists are facing barriers hindering AI adoption in clinical practice

Workflow integration

Workflow integration

67% radiologists highlight workflow mapping and implementation as a barrier.1

Lack of trust

Lack of trust

Only 6.7% of reviewed AI/ML algorithms had validation dataset sizes of over 1000 patients according to one study.2

Rise of AI applications

Rise of AI applications

Over 720 FDA-cleared AI radiology apps in the US3, 4

Rise of AI applications

Rise of AI applications

Over 720 FDA-cleared AI radiology apps in the US3, 4

Introducing

Calantic – the AI Radiology Solution from Bayer

Calantic gives radiologists access to tools and AI applications, that support worklist prioritization, detection, and quantification – with intuitive functionality tailored for specific disease areas.

 
 
 
 

  • Edge

    Enables automatic routing of pseudonymized studies from the PACS, RIS and/or EMR to the right Al application.

  • Viewer

    Smoothly accessible through the PACS, provides a unified user interface for interacting with Al findings. Al results can be approved or rejected by the radiologist.

  • Curated 
    Marketplace

    Provides a curated selection of AI applications bundled in specialty-driven clinical service lines.

  • Analytics

    Offers insights into real -world Al performance in your practice. Benchmark the clinical success of Al implementation and continuously monitor.

Cloud-housted platform

Cloud-hosted platform that provides access 
to AI applications

Access to all installed applications through 
a single common user interface

Access to the Calantic curated and selected portfolio of AI applications

Zero-footprint CalanticTM Viewer integrated into 
the PACS viewport

Zero-footprint CalanticTM Viewer smoothly accessible through the PACS viewport

Our Clinical Service at a Glance

Dive into our tailored solutions thoughtfully categorized into service lines spanning from thoracic to neurology, cardiovascular to breast, and more.

Our Clinical Service at a Glance
App Gallery
Our Clinical Service at a Glance
Explore the benefits of Artificial Intelligence in Radiology

Explore the benefits of Artificial Intelligence in Radiology

How can AI potentially address the challenges faced by radiology departments today? Get insights into promising clinical uses of artificial intelligence in Radiology.

Read Online
Discover the future of Cancer Screening with AI

Using AI for Cancer Screening


How can the use of AI in radiology potentially improve cancer screening and detection? Examine the research about the use of AI in breast, colorectal, hepatocellular, and prostate cancer screening.

Read Online
Gain Insight into AI's Impact on Neurology

Gain Insight into AI's Impact on Neurology

This eBook outlines the most common applications of AI in neuroradiology and discusses the evidence behind them.

Read Online

References 

1
Adapted from Strohm L, Hehakaya C, Ranschaert ER, Boon WPC, Moors EHM. Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors. Eur Radiol. 2020 Oct;30(10):5525-5532. doi: 10.1007/s00330-020-06946-y.
2
Ebrahimian, Shadi et al. FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies. Academic Radiology, Volume 29, Issue 4, 559 - 566
3
Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices. U.S. Food & Drug Administration. Updated August 7 2024. Accessed August 23, 2024. https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices
4
Available online: https://grand-challenge.org/aiforradiology/ [Accessed 27/01/2025]
    References
    1.
    McDonald, RJ, Schwartz, K, Eckel, L. et al.,(2015), The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload, Academic Radiology, 22(9), 1191-1198
    2.
    Kane, L. (2022) Medscape National Physician Burnout & Suicide Report 2022: The Generational Divide. Medscape Retrieved August 17, 2022 from https://www.medscape.com/slideshow/2022-lifestyle-burnout-6014664?reg=1#2
    3.
    Itri, J. N., Tappouni, R. R., McEachern, R. O., et.al. (2018) Fundamentals of Diagnostic Error in Imaging. RadioGraphics 38, 1845-1865. Retrieved August 17, 2022 from  https://pubs.rsna.org/doi/epdf/10.1148/rg.2018180021
    *
    https://www.accessdata.fda.gov/cdrh_docs/pdf16/k161201.pdf
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    © 2022, 2023 Bayer

    The descriptions, claims and visuals for all non-Bayer owned applications originate and are obtained from the application providers, or excerpted from publicly available information. Bayer is providing this content for your information, but does not own and control such content.

    BAYER, the Bayer Cross, Radimetrics and Calantic are trademarks owned by Bayer and/or registered in the U.S. Other trademarks and company names mentioned herein are properties of their respective owners.

    This is intended to provide information for healthcare professionals and other relevant decision makers in the US. Not all offerings are available in all markets. For availability specific to your country please contact your local Bayer representative. These materials are exclusively for professional use.

     

    Consult the operating instructions of a product for its intended use, characteristics and performance, contraindications, name of the manufacturer or its authorized representative and other essential information.

     

    You are encouraged to report adverse events; reporting information can be found on https://www.bayer.com/en/pharma/report-side-effect

    Any individuals depicted in this website are actors and not actual health care providers or patients. All patient data is fictitious. Images are an artistic representation for illustrative purposes only.

     

    Bayer U.S. | Digital Solutions, 100 Bayer Blvd., Whippany, NJ 07981-0915

     

    Last Updated: September 2023

    © 2022, 2023, 2024, 2025 Bayer

    The descriptions, claims and visuals for all non-Bayer owned applications originate and are obtained from the application providers, or excerpted from publicly available information. Bayer is providing this content for your information, but does not own and control such content.

    BAYER, the Bayer Cross, Radimetrics and Calantic are trademarks owned by Bayer and/or registered in the U.S. Other trademarks and company names mentioned herein are properties of their respective owners.

    This is intended to provide information for healthcare professionals and other relevant decision makers in the US. Not all offerings are available in all markets. For availability specific to your country please contact your local Bayer representative. These materials are exclusively for professional use.

     

    Consult the operating instructions of a product for its intended use, characteristics and performance, contraindications, name of the manufacturer or its authorized representative and other essential information.

     

    You are encouraged to report adverse events; reporting information can be found on https://www.bayer.com/en/pharma/report-side-effect

    Any individuals depicted in this website are actors and not actual health care providers or patients. All patient data is fictitious. Images are an artistic representation for illustrative purposes only.

     

    Bayer U.S. | Digital Solutions, 100 Bayer Blvd., Whippany, NJ 07981-0915

     

    Last Updated: March 2025

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