News | June 28, 2022

Bayer Launches Calantic Digital Solutions To Help Address Radiology Industry Challenges

PITTSBURGH--(BUSINESS WIRE)--

Bayer today unveiled Calantic Digital Solutions, a new cloud-hosted platform delivering access to digital applications, including AI-enabled programs, for medical imaging. The offering contains tools to help triage critical patient findings for expedited review, improve lesion detection and automate tasks. With this launch, Bayer expands its radiology portfolio beyond contrast media, devices, software and services, with the ultimate goal of supporting healthcare professionals to aid in the detection of disease patterns throughout the patient’s journey.

The launch comes at a time when chronic diseases are on the rise, increasing the demand for medical imaging. With radiology’s increasing complexity, including a five-fold jump in the number of magnetic resonance imaging (MRI) images produced per scan, to meet workload demands, an average radiologist in some cases would need to interpret one image every 3-4 seconds in an 8-hour workday.1 Exacerbating this situation is a shortage of radiologists.2 Time pressure and workload contribute to the prevalence of burn-out among radiologists.3 In addition, data show the rate of diagnostic errors rises with long hours of overtime.4 Digital technologies can help manage the mounting workload of radiologists and their teams, ultimately striving to improve patient care.

“AI has the potential to transform healthcare, and, particularly in medical imaging, it can turn the growing amounts of data into value-adding insights to support radiologists and their teams in their decision-making,” says Dr. Ryan Lee, Chair, Department of Radiology, Einstein Healthcare Network, Philadelphia. “It is crucial to drive innovation in this area and broaden access to digital tools that can help address the rising demand for solutions which improve the speed and accuracy of diagnoses.”

The apps will be centered around three key areas to help manage efficiencies across the radiology workflow: triage apps to flag suspected pathologies and findings that warrant urgent review and treatment; detection apps to improve lesion detection; and quantification apps for automation of routine tasks.

“Built on our leading industry knowledge and deep medical understanding across a multitude of diagnostic and therapeutic areas, Calantic Digital Solutions underlines our commitment to continue accelerating innovation for the benefit of patients and their physicians,” says Gerd Krüger, Head of Radiology, Bayer Pharmaceuticals. “With Calantic Digital Solutions, we are entering the fastest growing segment in the radiology market and taking the next step from a product provider to a solution provider, following our mission to provide an ecosystem of third-party and Bayer products to deliver innovative disease-oriented solutions for radiologists and their teams.”

About Calantic Digital Solutions
Calantic Digital Solutions is a suite of digital radiology AI-enabled applications which assist radiologists and their teams at critical steps within a patient’s treatment journey. The vendor-neutral, cloud-based platform includes a growing number of applications designed to aid in prioritization, lesion detection, and quantification, as well as apps that automate routine tasks and measurements, improve the radiology suites’ workflow, and potentially free up time for radiologists and their teams. The offering is orchestrated by body region and diagnostic procedure, initially focusing on thoracic and neurological diseases, such as pulmonary nodule detection and triage of suspected intracerebral hemorrhage and large vessel occlusions. More disease-specific application packages will be added moving forward. Bayer provides services around installation, configuration, and training of the platform and its applications. First launch markets to include the US and several European countries, with more regions to follow, upon local regulatory approvals as applicable.

About AI in Medical Imaging
The radiology AI market is growing dynamically, with an estimated compound annual growth rate (CAGR) of more than 25 percent through 2025.1 Innovation powered by AI is more needed than ever: aging populations and changing lifestyles are leading to an increase in chronic conditions such as cardiovascular disease and cancer.5,6 Consequently, the demand for medical imaging to detect diseases, guide treatment decisions and support therapy planning is growing.

About Radiology at Bayer
Everyone deserves clear answers about their health, starting with an early and accurate diagnosis. As a true life-science company with a heritage of over 100 years in radiology, Bayer is committed to providing excellence, from innovative products to high-quality services. Bayer’s portfolio of contrast media for computed tomography (CT), X-Ray and magnetic resonance imaging (MRI), devices for their precise administration, informatics solutions to support efficient and optimized patient care, as well as acknowledged educational programs, generated €1.8bn sales in 2021. Following the company’s ambition to outperform the radiology market’s average annual growth of five percent until 2030, Bayer is strongly committed to research and development, including leveraging AI and driving innovation in medical imaging. Each of these offerings provide effective tools to support radiologists in their mission to deliver treatment critical answers and clear direction – from diagnosis to care.

About Bayer
Bayer is a global enterprise with core competencies in the life science fields of health care and nutrition. Its products and services are designed to help people and planet thrive by supporting efforts to master the major challenges presented by a growing and aging global population. Bayer is committed to drive sustainable development and generate a positive impact with its businesses. At the same time, the Group aims to increase its earning power and create value through innovation and growth. The Bayer brand stands for trust, reliability, and quality throughout the world. In fiscal 2021, the Group employed around 100,000 people and had sales of 44.1 billion euros. R&D expenses before special items amounted to 5.3 billion euros. For more information, go to www.bayer.com.

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Forward-Looking Statements
This release may contain forward-looking statements based on current assumptions and forecasts made by Bayer management. Various known and unknown risks, uncertainties and other factors could lead to material differences between the actual future results, financial situation, development or performance of the company and the estimates given here. These factors include those discussed in Bayer’s public reports which are available on the Bayer website at www.bayer.com. The company assumes no liability whatsoever to update these forward-looking statements or to conformthem to future events or developments.

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1 McDonald RJ, Schwartz KM, Eckel LJ, et al. The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload. Acad Radiol. 2015 Sep;22(9):1191-8. doi: 10.1016/j.acra.2015.05.007. Epub 2015 Jul 22. PMID: 26210525.
2 The Complexities of Physician Supply and Demand: Projections From 2018 to 2033. Association of American Medical Colleges. June 2020. Available at: https://www.aamc.org/media/45976/download.
3 Chetlen AL, Chan TL, Ballard DH, et al. Addressing Burnout in Radiologists. Acad Radiol. 2019 Apr;26(4):526-533. doi: 10.1016/j.acra.2018.07.001. Epub 2018 Jul 31. PMID: 30711406; PMCID: PMC6530597.
4 Cannon CL, Beechman JF, DeQuesada I, et al. Physician Burnout in Radiology: Perspectives From the Field. American Journal of Roentgenology. 2022;218: 370-374. 10.2214/AJR.21.26756
5 Roth GA, Mensah GA, Johnson CO, et al. Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019: Update From the GBD 2019 Study. J Am Coll Cardiol. 2020 Dec, 76 (25) 2982–3021.
6 Sung H, Ferlay J, Siegal R, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians 2021;71:209-249

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