Machine Learning, AI, and Health Disparity

Activity Title

Machine Learning, AI, and Health Disparity

Program Goals

The purpose of this educational activity is to provide a primer on common health disparities and challenges to make healthcare more equitable through big data machine learning artificial/augmented intelligence and big data. The presentation will also provide examples of how AI and ML can contribute or exacerbate health disparities. One key challenge is the issue of bias in AI and the presentation will highlight how these biases are engendered and offer solutions to overcoming bias in healthcare-related AI. The presentation will end with future directions to make AI fulfil its promise as a transitional tool, one that effectively translates discovery to treatments and solutions for all.

Target Audience

Everyone in the healthcare and public health ecosystems (patient provider, payer, industry, and policymakers). Due to cross-cutting nature of the presentation, it is likely that data scientists, engineers, and technologists will find this presentation informative.

Learning Objectives

After completion of this activity participants will be able to:

Identify 3 health disparities in cardiovascular health, cancer, kidney disease, and dermatological disease.
Describe how poor assessment, diagnostic and treatment among racial/ethnic minorities lead to health disparities.
Discuss how Machine Learning can improve assessment, diagnosis and treatment customization and adherence.
Recognize cautionary topics that must be taken into consideration (such as AI bias).
Identify emerging topics in Machine Learning and how they can solve additional health disparities.

Faculty

Azizi Seixas, PhD
Associate Professor, Department of Psychiatry and Behavioral Sciences
University of Miami School of Medicine
Director, The Media and Innovation Lab
Director, Population Health Informatics, Institute for Data Science and Computing
Associate Director, Translational Sleep and Circadian Sciences

Educational Activity Agenda

Front Matter & Registration (5 minutes)
Educational Presentation (50 minutes)
Post Test, Evaluation & Certificate delivery (10 minutes)
Total Activity (65 minutes)

Release and Expiration Dates

Release Date: Febuary 2, 2025
Expires: Febuary 2, 2027

Disclosure of Conflicts of Interests

Dane Garvin Ltd. (DGL) adheres to the policies and guidelines, including the Standards for Integrity and Independence in Accredited CE, set forth to providers by the Accreditation Council for Continuing Medical Education (ACCME) and all other professional organizations, as applicable, stating those activities where continuing education credits are awarded must be balanced, independent, objective, and scientifically rigorous. All persons in a position to control the content of an accredited continuing education program provided and/or hosted by DGL are required to disclose all financial relationships with any ineligible company within the past 24 months to DGL. All financial relationships reported are identified as relevant and mitigated by DGL and any/all accreditation providers in accordance with the Standards for Integrity and Independence in Accredited CE in advance of delivery of the activity to learners. The content of this activity was vetted by DGL and AARC to assure objectivity and that the activity is free of commercial bias.

All relevant financial relationships have been mitigated.

Faculty Disclosures

The faculty have the following relevant financial relationships with ineligible companies:

Azizi Seixas, PhD
• Nothing to Disclose

Planners and Managers

The planners and managers have the following relevant financial relationships with ineligible companies:

Gail A. Varcelotti, RRT FAARC

Nothing to disclose

Credit Designation - AARC

This Non-traditional program has been approved for 1.0 contact hour Continuing Respiratory Care Education (CRCE) credit by the American Association for Respiratory Care; 9425 N. MacArthur Boulevard, Suite 100, Irving TX 75063 Course #193819000

How to Obtain AARC / CRCE Credit

Attendees are expected to review all academic materials before attempting to apply for credit. Successful completion of this activity will lead to the issuance of a certificate for 1.0 contact hour of CRCE approved continuing education.

To receive credit, please follow these steps:

Complete the online registration (registration is free).
Review all of the academic materials provided.
Click on the CRCE link to apply for credit.
Complete the online test and/or evaluation. Participants must receive a test score of at least 70% and answer all evaluation questions to receive a certificate.
Qualified applicants will be provided with an online (printable) CRCE certificate based on their attendance and satisfactory completion of this academic activity.

Click here to view the web conference

Fee Information

There is no fee for this educational activity.

Disclosure of Unlabeled Use:

This educational activity may contain discussion of published and/or investigational uses of agents that are not indicated by the FDA. Dane Garvin Ltd. (DGL) and/or accreditation providers for this educational activity do not recommend the use of any agent outside of the labeled indications.

The opinions expressed in the educational activity are those of the faculty and do not necessarily represent the views of any organization associated with this activity. Please refer to the official prescribing information for each product for discussion of approved indications, contraindications, and warnings.

Disclaimer

Participants have an implied responsibility to use the newly acquired information to enhance patient outcomes and their own professional development. The information presented in this activity is not meant to serve as a guideline for patient management. Any procedures, medications, or other courses of diagnosis or treatment discussed in this activity should not be used by clinicians without evaluation of patient conditions and possible contraindications on dangers in use, review of any applicable manufacturer’s product information, and comparison with recommendations of other authorities.

Policy on Privacy and Confidentiality

Dane Garvin Ltd. (DGL) and MEDtalks protect the privacy of personal and other information regarding participants, educational partners, and joint sponsors. DGL and/or MEDtalks will not release personally identifiable information to a third party without the individual's consent, except such information as is required for reporting purposes to the appropriate accrediting agency.

DGL and MEDtalks maintain physical, electronic and procedural safeguards that comply with US federal regulations and European General Data Protection Regulation (GDPR) to guard your nonpublic personal information.

Medium Used

This program has been made available online.
“Machine Learning, AI, and Health Disparity”

System Requirements

To view this educational activity you will need a web browser with Javascript and either Flash or HTML5 enabled. Nearly all modern web browsers will work.

Commercial Support Statement

This online Resource Center is supported by an Educational Grant from Philips Respironics, Inc.

Copyright

Copyright © MEDtalks & Dane Garvin, Ltd. All Rights Reserved. Permission for accreditation use granted to the American Association for Respiratory Care (AARC). Web interface provided by Dane Garvin Ltd.


	Activity Title Click here to register for this event Machine Learning, AI, and Health Disparity Program Goals The purpose of this educational activity is to provide a primer on common health disparities and challenges to make healthcare more equitable through big data machine learning artificial/augmented intelligence and big data. The presentation will also provide examples of how AI and ML can contribute or exacerbate health disparities. One key challenge is the issue of bias in AI and the presentation will highlight how these biases are engendered and offer solutions to overcoming bias in healthcare-related AI. The presentation will end with future directions to make AI fulfil its promise as a transitional tool, one that effectively translates discovery to treatments and solutions for all. Target Audience Everyone in the healthcare and public health ecosystems (patient provider, payer, industry, and policymakers). Due to cross-cutting nature of the presentation, it is likely that data scientists, engineers, and technologists will find this presentation informative. Learning Objectives After completion of this activity participants will be able to: Identify 3 health disparities in cardiovascular health, cancer, kidney disease, and dermatological disease. Describe how poor assessment, diagnostic and treatment among racial/ethnic minorities lead to health disparities. Discuss how Machine Learning can improve assessment, diagnosis and treatment customization and adherence. Recognize cautionary topics that must be taken into consideration (such as AI bias). Identify emerging topics in Machine Learning and how they can solve additional health disparities. Faculty Azizi Seixas, PhD Associate Professor, Department of Psychiatry and Behavioral Sciences University of Miami School of Medicine Director, The Media and Innovation Lab Director, Population Health Informatics, Institute for Data Science and Computing Associate Director, Translational Sleep and Circadian Sciences Educational Activity Agenda Front Matter & Registration (5 minutes) Educational Presentation (50 minutes) Post Test, Evaluation & Certificate delivery (10 minutes) Total Activity (65 minutes) Release and Expiration Dates Release Date: Febuary 2, 2025 Expires: Febuary 2, 2027 Disclosure of Conflicts of Interests Dane Garvin Ltd. (DGL) adheres to the policies and guidelines, including the Standards for Integrity and Independence in Accredited CE, set forth to providers by the Accreditation Council for Continuing Medical Education (ACCME) and all other professional organizations, as applicable, stating those activities where continuing education credits are awarded must be balanced, independent, objective, and scientifically rigorous. All persons in a position to control the content of an accredited continuing education program provided and/or hosted by DGL are required to disclose all financial relationships with any ineligible company within the past 24 months to DGL. All financial relationships reported are identified as relevant and mitigated by DGL and any/all accreditation providers in accordance with the Standards for Integrity and Independence in Accredited CE in advance of delivery of the activity to learners. The content of this activity was vetted by DGL and AARC to assure objectivity and that the activity is free of commercial bias. All relevant financial relationships have been mitigated. Faculty Disclosures The *faculty* have the following relevant financial relationships with ineligible companies: Azizi Seixas, PhD • Nothing to Disclose Planners and Managers The *planners and managers* have the following relevant financial relationships with ineligible companies: Gail A. Varcelotti, RRT FAARC Nothing to disclose Credit Designation - AARC This Non-traditional program has been approved for 1.0 contact hour Continuing Respiratory Care Education (CRCE) credit by the American Association for Respiratory Care; 9425 N. MacArthur Boulevard, Suite 100, Irving TX 75063 Course #193819000 How to Obtain AARC / CRCE Credit Attendees are expected to review all academic materials before attempting to apply for credit. Successful completion of this activity will lead to the issuance of a certificate for 1.0 contact hour of CRCE approved continuing education. To receive credit, please follow these steps: Complete the online registration (registration is free). Review all of the academic materials provided. Click on the CRCE link to apply for credit. Complete the online test and/or evaluation. Participants must receive a test score of at least 70% and answer all evaluation questions to receive a certificate. Qualified applicants will be provided with an online (printable) CRCE certificate based on their attendance and satisfactory completion of this academic activity. Click here to view the web conference Fee Information There is no fee for this educational activity. Disclosure of Unlabeled Use: This educational activity may contain discussion of published and/or investigational uses of agents that are not indicated by the FDA. Dane Garvin Ltd. (DGL) and/or accreditation providers for this educational activity do not recommend the use of any agent outside of the labeled indications. The opinions expressed in the educational activity are those of the faculty and do not necessarily represent the views of any organization associated with this activity. Please refer to the official prescribing information for each product for discussion of approved indications, contraindications, and warnings. Disclaimer Participants have an implied responsibility to use the newly acquired information to enhance patient outcomes and their own professional development. The information presented in this activity is not meant to serve as a guideline for patient management. Any procedures, medications, or other courses of diagnosis or treatment discussed in this activity should not be used by clinicians without evaluation of patient conditions and possible contraindications on dangers in use, review of any applicable manufacturer’s product information, and comparison with recommendations of other authorities. Policy on Privacy and Confidentiality Dane Garvin Ltd. (DGL) and MEDtalks protect the privacy of personal and other information regarding participants, educational partners, and joint sponsors. DGL and/or MEDtalks will not release personally identifiable information to a third party without the individual's consent, except such information as is required for reporting purposes to the appropriate accrediting agency. DGL and MEDtalks maintain physical, electronic and procedural safeguards that comply with US federal regulations and European General Data Protection Regulation (GDPR) to guard your nonpublic personal information. Medium Used This program has been made available online. “Machine Learning, AI, and Health Disparity” System Requirements To view this educational activity you will need a web browser with Javascript and either Flash or HTML5 enabled. Nearly all modern web browsers will work. Commercial Support Statement This online Resource Center is supported by an Educational Grant from Philips Respironics, Inc. Copyright Copyright © MEDtalks & Dane Garvin, Ltd. All Rights Reserved. Permission for accreditation use granted to the American Association for Respiratory Care (AARC). Web interface provided by Dane Garvin Ltd.