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Discover the exciting potential of AI for radiology teams.

Visit Radiology Academy

Looking for our latest keynotes and symposium sessions? You'll find them at Calantic Radiology Academy.

Visit Radiology Academy >

 

Calantic AI Visions – Keynote Sessions

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Calantic AI Visions | Part 1: Recognizing the Challenges

In the first section of the AI Visions event, the panel discusses the main challenges facing radiology today and what could they potentially be tomorrow. One specific topic is how AI could help to meet these challenges and how radiologists can overcome barriers such as scalability, access to funding, and reliability.

 

Moderator: William Snyder
Panel: Alexandre Salvador; Venkat Ramamurthy; Dr. Ryan Lee, MD.
Date:  June 30th, 2022

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Calantic AI Visions | Part 2: Why Calantic Now?

In the second section of the AI Visions event, the speakers talk about the potential impact of an AI platform and marketplace such as CalanticTM Digital Solutions in the practical, clinical and financial aspects of implementing AI into a radiology practice. All of these are important considerations in this evolving AI market.

 

Moderator: William Snyder 
Panel: Venkat Ramamurthy; Dr. Eliot Siegel, MD.; Dr. Michael Ferra, MD 
Date:  June 30th, 2022

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Calantic AI Visions | Part 3: How to Justify AI?

In the third section of the AI Visions event, the panel discusses how to overcome various challenges when trying to advocate for the implementation of digital solutions from the cost-benefit perspective. Some of the challenges include poor training on algorithms; Algorithms that are trained on limited datasets that limit the validity of the application in a more general population; lack of funding; and lack of evidence supporting health economic benefit.

 

Moderator: Dr. Ankur Sharma 
Panel: Dr. Lauren Nicola, MD; Dr. Joseph Schoepf, MD; Dr. Declan O’Regan, MD; Dr. Subrata Bose 
Date:  June 30th, 2022

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Calantic AI Visions | Part 4: The Validation Challenge

In the fourth and last section of the AI Visions event, the stakeholders speak about the factors that need to be considered in validating the AI App, in development, when considering the purchase of the app and after implementing it in a radiology practice.
 

 

Moderator: Dr. Ankur Sharma 
Panel: Dr. Marcus Blanc; Dr. Ryan Lee, MD.; Dr. Declan O’Regan, MD; Dr. Subrata Bose
Date:  June 30th, 2022

 

ECR 2022 – Bayer Symposium

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ECR 2022 | AI in Radiology: The Quest for Clinical Curation of Algorithms

At this Bayer Symposium at ECR 2022, key experts discuss the implications of algorithm curation, the importance of data validation, and AI implementation in the clinical practice. Moreover, they talk about the different aspects involved in digital solutions deployment, evaluation, and their monitoring.

 

Panel: Prof. Dr. Erik Ranschaert, Prof. Dr. Alexander Radbruch, Prof. Dr. Angela Aristidou, Prof. Dr. Peter van Ooijen
Date:  July 15th, 2022
 

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Past Webinars and Events

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Upcoming Events, Webinars

Radiological Society of North America 2024 Annual Meeting

McCormick Place, Chicago, Illinois
Booth # 2514

 

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RSNA

AHRA 2024 Annual Meeting

Orlando World Center Marriot. Orlando, FL
Booth # 819

 

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AHRA

ASNR 2024 Annual Meeting

May 18 - 22, 2024
Caesars Palace, Las Vegas, NV
Booth # 105 & 110

 

[Schedule a meeting >]

ASNR

Ai-Med Global Summit 2024

May 29 - 31, 2024
Gaylord Palms, FL

AIMed
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SIIM 24 Annual Meeting + Informatics TECH Expo

June 27 - 29, 2024
Gaylord National Resort & Convention Center. National Harbor, MD.
Booth # 623 & 625

 

[Schedule a meeting >]

SIIM

RBMA PaRADigm 2024

April 14 - 17, 2024
MGM Grand Las Vegas, NV
Booth # 123456

RBMA Paradigm 2024
 

Insights from RSNA 2023

What’s Next for AI in Radiology?

Join Buck Schneider, Business Development Manager,
Bayer Digital Solutions, for insights on where the
industry is going after RSNA. Dive into how organizations can deploy AI more 
efficiently, without focusing on one algorithm at a time, as well as what developers are focusing on for the next
round of AI apps for radiology. (approximately two minutes)

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Generative AI: Reality and expectation A discussion with Bayer and Google 

Generative AI is a rapidly growing field with the potential to 
revolutionize a wide range of industries. Join Dr. Ankur Sharma 
(Head of Medical Affairs with Bayer Digital Radiology), and 
Brandon Doohan (customer engineer with Google) to discover 
several potential applications of generative AI in healthcare. (approximately 28 minutes)

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Mitigating Current Challenges for Adoption of AI/ML Software in Clinical Practice

Join Hortense Allison (Bayer’s Head of Regulatory, Digital), Gopal Abbineni (Bayer’s Director of Global Regulatory Strategy), and Dr. Jamie Chow (Blackford Clinical Lead) to discuss ways to address regulatory challenges surrounding AI adoption in radiology. (Approximately 25 minutes)

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Overcoming barriers to AI in Radiology - An interview with Dr. Ryan Lee

Join Dr. Steven Blumer (America's Director of Radiology, Digital 
Medical Affairs, Bayer radiology) and Dr Ryan Lee (Chair of 
Radiology, Einstein Healthcare Network) to explore insights 
surrounding AI governance, deployment of AI applications, 
determining Return on Investment, and more. (Approximately 8 Minutes)

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Overcoming barriers to AI in Radiology - An Interview with Dr. Orest Boyko

See how Dr. Orest Boyko (Radiologist, VA Southern Nevada Healthcare System) users on-premise AI applications, handles variability in how radiologists report findings, and thinks about opportunities for AI in the future of radiology, in this engaging discussion with Dr. Steven Blumer (Americas Director of Radiology, Digital Medical Affairs, Bayer Radiology). (Approximately 7 minutes)

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Talking AI with Riverain

Watch Steve Worrell (CEO, Riverain Technologies) and Dr. Joana
Reis (Senior Manger for Global Medical Affairs, Bayer Radiology) 
as they discuss AI applications that detect pulmonary nodules and cardiothoracic diseases on CT and X-rays. (Approximately 8 minutes)

Enhancing patient outcomes:
the role of clinical utility in
guiding healthcare providers in
curating radiology AI applications

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Topics of Interest

  • Cost Effectiveness

How to Assess AI Applications and Their Potential Reimbursement

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  • Clinical utility of AI

The Power of an AI Platform

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  • Scalability of AI

Scalable Application Factory – Technology Framework

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  • Scalability of AI

Seven Key Steps to Working with AI

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  • Scalability of AI

Regulatory Framework for AI Applications in Radiology

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  • Clinical Utility of AI

Connecting Clinical Users With AI

Read More >

E-Books

Ebook Ebook

The Complete Guide to Artificial Intelligence in Radiology

Artificial intelligence (AI) is playing an increasingly vital role in all our lives, and shows promising prospects in addressing some of the greatest current and upcoming societal challenges. With an established history of leading digital transformation in healthcare and an urgent need for improved efficiency, radiology has been at the forefront of harnessing AI’s potential.

 

But how can AI address the challenges that radiology departments face?

 

How can we get an overview of the fundamental concepts? What are the most promising use cases for AI in radiology? And what are the major challenges associated with the adoption of AI?

Get E-Book
Ebook Ebook

Artificial intelligence in medical imaging: What, How, and Why?

Broadly speaking, the advantages of AI in medical imaging could potentially include the ability to provide insights that would otherwise not be possible using traditional methods (such as humans looking at images) and how to do so in a faster and automated way (without the need for human interaction).

But what is the current status of AI in medical imaging? Which areas of apps will provide the most value and why? What will the funding and adoption look like?

And what does the future of AI bring in medical imaging? What will be the new directions and the challenges on the way?

To get a glimpse into these insights, download our eBook

Get E-Book
Ebook Ebook

Artificial intelligence imaging applications in neurology

Neurological disorders are responsible for the highest rate of disability and the second-highest rate of mortality globally. As neurological imaging mostly relies on modalities that generate large amounts of complex data, much research has focused on neuroradiology AI.

 

Between 29 % and 38 % of all commercially available radiology AI tools focus on the brain or spine, a higher proportion than for any other anatomical region.

 

Download this ebook to receive an outline of the most common artificial intelligence neurology imaging applications and the evidence behind them.

Get E-Book
Ebook Ebook

Improving Cancer Screening: How AI Empowers Radiologists

Cancer is a leading cause of global morbidity and mortality. Medical imaging plays a central role in the screening pathways of cancers. However, the current demand for cancer screening exceeds the supply of trained radiologists.

 

How can the use of AI in radiology for cancer screening help mitigate these issues?

 

Our latest eBook takes a closer look at the research about AI that can be used in the process of breast cancer screening, outlines the use of radiology AI for automatic pulmonary nodule detection, and examines AI algorithms for detecting colorectal cancer, hepatocellular carcinoma and prostate cancer.

Get E-Book

Research Articles

Enhancing patient outcomes:
the role of clinical utility in guiding healthcare providers in curating radiology AI applications

Read More >

Unlocking the Value:
Quantifying the ROI of
Hospital AI


Published in JACR, 3/16/2024

Read More >
 

 

 

E-Books

The Complete Guide to Artificial Intelligence in Radiology The Complete Guide to Artificial Intelligence in Radiology

The Complete Guide to Artificial Intelligence in Radiology

Radiology is at the forefront of harnessing AI’s potential. How can AI address the challenges faced by radiology departments today? This eBook provides an overview, promising use cases, and challenges with adoption.

Get E-Book
Artificial intelligence in medical imaging: What, How, and Why? Artificial intelligence in medical imaging: What, How, and Why?

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

What is the current status of AI in medical imaging, including funding and adoption? What does the future of AI bring to medical imaging? Get a glimpse into these insights.

Get E-Book
Artificial intelligence imaging applications in neurology Artificial intelligence imaging applications in neurology

Artificial Intelligence Imaging Applications in Neurology

More radiology AI tools focus on the brain or spine compared with any other anatomical region. Here are the most common AI neuroradiology AI applications.

Get E-Book
Improving Cancer Screening: How AI Empowers Radiologists Improving Cancer Screening: How AI Empowers Radiologists

Improving Cancer Screening: How AI Empowers Radiologists

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

Get E-Book

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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 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: December 2024

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