Imaging AI Advanced Certificate (2023)

0 Item(s)

Keyword(s) CPAI0123, Certificate Program, Artificial Intelligence

RSNA members with the Basic membership package will pay the non-member rate. Upgrade to Standard or Full Access Membership for complimentary access to RSNA online education.

Tag(s) Certificate Program, Artificial Intelligence

Description

Module 1

The RSNA Imaging AI Advanced Certificate course is case-based and consists of six modules featuring expert instructors that provide a deeper understanding of the steps involved in using AI algorithms in medical imaging.

Content Areas (Codes):
The following Content Areas will be printed on the certificate for this course:

Artificial Intelligence

Learning Objectives:

Assess the purpose and complexities involved when developing machine learning models and applications
Demonstrate different approaches to generating and working on AI issues
Identify ethical considerations involved in data sharing of patient privacy and consent

This Other Activity (blended enduring material and simulation) is estimated to take 2 hour to complete. This activity has not been designated for continuing medical education credit.

Start Date: 01/18/2023  
Online Expiration Date: 06/20/2026

Faculty:

Price:
Non-member Rate: $1150.00
Member Rate: $950.00

Refund / Exchange Policy:
RSNA will not issue any refunds or exchanges for online only versions of educational products or activities purchased online. Please review the entire product or activity description prior to purchase.  

RSNA Disclaimer:
The opinions or views expressed in this activity are those of the presenters and do not necessarily reflect the opinions, recommendations or endorsement of the RSNA. Participants should critically appraise the information presented and are encouraged to consult appropriate resources for information surrounding any product or device mentioned. Information presented, as well as publications, technologies, products and/or services discussed, are intended to inform the learner about the knowledge, techniques, and experiences of RSNA faculty who are willing to share such information with colleagues. The RSNA disclaims any and all liability for damages to any individual user for all claims which may result from the use of said information, publications, technologies, products and/or services, and events.  

Module 2

Artificial Intelligence

Learning Objectives:

Assess the purpose and complexities involved when developing machine learning models and applications
Demonstrate different approaches to generating and working on AI issues
Identify ethical considerations involved in data sharing of patient privacy and consent

This Other Activity (blended enduring material and simulation) is estimated to take 2 hour to complete. This activity has not been designated for continuing medical education credit.

Start Date: 02/15/2023  
Online Expiration Date: 06/20/2026

Faculty:

Price:
Non-member Rate: $1150.00
Member Rate: $950.00

Module 2B

Artificial Intelligence

This Other Activity (blended enduring material and simulation) is estimated to take 1 hour and 30 minutes to complete.

Start Date: 03/22/2023
Online Expiration Date: 06/20/2026

Faculty:

Imon Banerjee, PhD
Marta Heilbrun, MD
Andras Lasso, PhD
Nabile Safdar, MD

Price:
Non-member Rate: $1150.00
Member Rate: $950.00

RSNA Disclaimer:
The opinions or views expressed in this activity are those of the presenters and do not necessarily reflect the opinions, recommendations or endorsement of the RSNA. Participants should critically appraise the information presented and are encouraged to consult appropriate resources for information surrounding any product or device mentioned. Information presented, as well as publications, technologies, products and/or services discussed, are intended to inform the learner about the knowledge, techniques, and experiences of RSNA faculty who are willing to share such information with colleagues. The RSNA disclaims any and all liability for damages to any individual user for all claims which may result from the use of said information, publications, technologies, products and/or services, and events.

Module 3

Artificial Intelligence

Learning Objectives:

Interpret conceptual differences and advantages between a vision transformer (ViT) and a convolutional neural network (CNN)
Assess the strengths and weaknesses of convoluational neural networks (CNN) and different CCN architectures such as AlexNet, VGG, ResNet, and DenseNet
Implement the fundamentals of recurrent neural network (RNN) and recent use cases in radiology specific tasks

This Other Activity (blended enduring material and simulation) is estimated to take 3 hours to complete.

Start Date: 03/22/2023
Online Expiration Date: 06/20/2026

Faculty:

Price:
Non-member Rate: $1150.00
Member Rate: $950.00

RSNA Disclaimer:
The opinions or views expressed in this activity are those of the presenters and do not necessarily reflect the opinions, recommendations or endorsement of the RSNA. Participants should critically appraise the information presented and are encouraged to consult appropriate resources for information surrounding any product or device mentioned. Information presented, as well as publications, technologies, products and/or services discussed, are intended to inform the learner about the knowledge, techniques, and experiences of RSNA faculty who are willing to share such information with colleagues. The RSNA disclaims any and all liability for damages to any individual user for all claims which may result from the use of said information, publications, technologies, products and/or services, and events.

Module 4

Artificial Intelligence

Learning Objectives:

Identify the steps to effectively evaluate an AI model in your clinical environment
Implement an evaluation framework for pre-purchasing AI tools
Assess the various stages in evaluation and deployment of AI and identify the best approach for its intended use

This Other Activity (blended enduring material and simulation) is estimated to take 2 hours and 30 minutes to complete.

Start Date: 04/19/2023
Online Expiration Date: 06/20/2026

Faculty:

Price:
Non-member Rate: $1150.00
Member Rate: $950.00

RSNA Disclaimer:
The opinions or views expressed in this activity are those of the presenters and do not necessarily reflect the opinions, recommendations or endorsement of the RSNA. Participants should critically appraise the information presented and are encouraged to consult appropriate resources for information surrounding any product or device mentioned. Information presented, as well as publications, technologies, products and/or services discussed, are intended to inform the learner about the knowledge, techniques, and experiences of RSNA faculty who are willing to share such information with colleagues. The RSNA disclaims any and all liability for damages to any individual user for all claims which may result from the use of said information, publications, technologies, products and/or services, and events.

Module 5

Artificial Intelligence

Learning Objectives:

Identify essential FDA regulatory processes for AI software devices
Interpret new regulatory challenges of the FDA that come with effectively overseeing the realm of AI/ML-enabled medical devices
Differentiate available resources for evaluating FDA cleared AI algorithms of clinical use
Assess payment structure of CMS and various financial returns on investment through the utilization of AI software

This Other Activity (blended enduring material and simulation) is estimated to take 1 hour and 30 minutes to complete.

Start Date: 05/24/2023
Online Expiration Date: 06/20/2026

Faculty:

Bibb Allen, MD, FACR
Imon Banerjee, PhD
Melissa M. Chen, MD
Hugh Harvey, MBBS, BSc (Hons), FRCR, MD (Res), FBIR
Marta Heilbrun, MD
Shinjini Kundu, MD, PhD
Nabile Safdar, MD
Hari Trivedi, MD

Price:
Non-member Rate: $1150.00
Member Rate: $950.00

RSNA Disclaimer:
The opinions or views expressed in this activity are those of the presenters and do not necessarily reflect the opinions, recommendations or endorsement of the RSNA. Participants should critically appraise the information presented and are encouraged to consult appropriate resources for information surrounding any product or device mentioned. Information presented, as well as publications, technologies, products and/or services discussed, are intended to inform the learner about the knowledge, techniques, and experiences of RSNA faculty who are willing to share such information with colleagues. The RSNA disclaims any and all liability for damages to any individual user for all claims which may result from the use of said information, publications, technologies, products and/or services, and events.

Module 6

Artificial Intelligence

Learning Objectives:

Interpret machine learning uses or abuses for each of the four principles of bioethics
Illustrate common biases that may influence radiologists' use of AI prompts that impact decision during image interpretation
Demonstrate concepts of fairness in ML and the importance of critically evaluating bias in AI algorithms prior to deployment in healthcare

This Other Activity (blended enduring material and simulation) is estimated to take 1 hour and 30 minutes to complete.

Start Date: 06/21/2023
Online Expiration Date: 06/20/2026

Faculty:

Price:
Non-member Rate: $1150.00
Member Rate: $950.00

RSNA Disclaimer:
The opinions or views expressed in this activity are those of the presenters and do not necessarily reflect the opinions, recommendations or endorsement of the RSNA. Participants should critically appraise the information presented and are encouraged to consult appropriate resources for information surrounding any product or device mentioned. Information presented, as well as publications, technologies, products and/or services discussed, are intended to inform the learner about the knowledge, techniques, and experiences of RSNA faculty who are willing to share such information with colleagues. The RSNA disclaims any and all liability for damages to any individual user for all claims which may result from the use of said information, publications, technologies, products and/or services, and events.