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Radiology Resource Hub

Welcome to the Bayer AI in Radiology Resource Hub

Here you'll find a library of helpful articles, webinars, eBooks, and presentations
addressing current topics in the use of AI in Radiology.

Enjoy, and check back often as new resources are added.

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eBooks
eBook Complete Guide to AI in Radiology

The Complete Guide to Artificial Intelligence 

The healthcare industry potentially has much to gain from incorporating the use of AI, and radiology has been at the forefront of harnessing AI's potential.

This eBook covers:

  • How AI can address workflow issues in radiology departments

  • Ways to overcome the challenges of integrating AI into workflows

eBook AI in Medical Imaging

Artificial Intelligence in Medical Imaging: What, How, and Why?

Explore how AI in medical imaging could provide unique insights beyond traditional methods while being faster and automated without human interaction.

This eBook covers:

  • Current usage of AI in imaging and considerations for the future of AI in Radiology

  • Funding, adoption, and regulatory landscape

eBook AI Imaging Applications in Neurology

Artificial Intelligence Imaging Applications in Neurology

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

This eBook covers:

  • AI support in the diagnosis of conditions such as stroke and intracranial hemorrhage

  • AI applications that monitor the progression of neurological conditions

eBook Improving Cancer Screening-2

Improving Cancer Screening: How AI Empowers Radiologists

Learn how the use of AI-based tools for cancer screening holds promise for mitigating the lack of trained radiologists.

This eBook covers:

  • Research about algorithms that can be used in detecting Colorectal cancer, Hepatocellular carcinoma, and Prostate cancer

  • Systems based on AI that have been incorporated at various stages in the breast cancer screening process.

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Scientific Papers
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Moving from Data Governance to AI Governance: Three ways to get Started

The FDA has now cleared more than 500 healthcare AI algorithms, and the number is growing each day.1 As healthcare systems embrace this new technology, AI Governance is emerging as an essential, critical role.

If your healthcare organization is considering an AI Governance program, here are three steps to get the process started.

1 FDA has now cleared more than 500 healthcare AI algorithms (healthexec.com)

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On-Demand Webinars
Change Management Preview

Winning the Hearts and Minds. AI and Change Management

Access insights on streamlining transitions, addressing resistance to change, and optimizing AI’s potential to impact patient care.

Bias in Machine Learning

Bias in Machine Learning

The field of radiology has witnessed a significant surge in interest in AI. Nevertheless, uncertainty lingers concerning the potential for bias in machine learning training.

How to Demonstrate Clinical Utility of AI

How to Demonstrate Clinical Utility of AI

This webinar discusses how to demonstrate the clinical utility of AI and whether this can lead to successful reimbursements.

To Pay or not to Pay Webinar

To Pay or Not to Pay for the Artificial Intelligence Applications in Radiology

Healthcare providers and payors need a set of criteria to decide the payment for AI applications in Radiology. The speakers in this webinar propose a framework to help serve as a guide for payers. 

AI Governance Webinar Image

Artificial Intelligence in Radiology and the Considerations for Regulation

Explore recommendations surrounding the integration of AI solutions at healthcare institutions through a webinar addressing the challenges and opportunities that arise during AI implementation.

AHRA Webinar - AI in Medical Imaging

AI in Medical Imaging: The What, How and Why

In this webinar, we explore the current state of AI in medical imaging before, during, and after image acquisition. The speakers discuss funding, adoption, and regulatory landscape and share insights into the future steps and challenges of AI in medical imaging.

Lung Cancer Screening preview

The Present and Future of Lung Cancer Screening

This webinar reviews current evidence-based recommendations for lung cancer screening and aims to provide a global perspective on eligibility criteria.

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Last Updated: February 2024