Artificial Intelligence in Research
In this presentation, Dr. Caroline Chung and Dr. Craig G. Rusin discuss the process of translating artificial intelligence (AI) into clinical applications, and describe how AI development and implementation can be adapted to suit the needs of those working in cancer (or other medical specialty) research.
This Artificial Intelligence in Healthcare Seminar Series session took place on April 28, 2026, at 12:00 p.m. and has been approved for CME.
Activity Information
How to Claim Credit
You may claim credit after watching this activity.
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Needs Statement
Artificial intelligence (AI) is a relatively new technology with significant potential in healthcare if implemented in a strategic and safe manner. However, there are challenges in integrating AI into workflows because of limited foundational knowledge, ethical concerns, and insufficient exposure to practical tools that enhance efficiency and innovation. This series aims to bridge the gap between theoretical knowledge and real-world clinical practice, promote the use of research tools such as literature review automation and data analytics, and advance the application of AI-driven educational methods synergistically with the Learning Health System. By focusing on practical applications, ethical challenges, and future innovations, the series seeks to break down barriers to the implementation of AI and to foster innovation and collaboration.
Educational Objectives
At the conclusion of the activity, the participants should be able to:
- Explore resources and practical strategies for conducting AI research at Baylor College of Medicine.
- Describe the process of translating AI into clinical applications.
- Identify where context will influence AI development and implementation.
- Discuss fit-for-purpose model development and evaluation.
- Describe the different kinds of AI that can be utilized in cancer research.
Target Audience
Professional Categories
- Physicians
- Fellows
- Residents
- Nurses
- Other Health Professionals
Specialties
Interest Groups
- Artificial Intelligence and Technology
Competencies
- Patient Care and Procedural Skills
- Practice-Based Learning and Improvement
- Provide Patient-Centered Care
- Quality Improvement
- Roles/Responsibilities
- Systems-Based Practice
- Teams and Teamwork
- Utilize Informatics
- Values/Ethics for Interprofessional Practice
- Work in Interdisciplinary Teams
Activity Evaluation
Evaluation by questionnaire will address program content, presentation, and possible bias.
Educational Methods
- Lectures
Accreditation/Credit Designation
Baylor College of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
Baylor College of Medicine designates this enduring material activity for a maximum of 0.75 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Activity Directors
Term of Approval
April 1, 2026 through April 31, 2028. Original release date: April 1, 2026.
Disclosure Policy
Baylor College of Medicine (BCM) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education (CME) for physicians. BCM is committed to sponsoring CE activities that are scientifically based, accurate, current, and objectively presented.
In accordance with the ACCME Standards for Commercial Support, BCM has implemented a mechanism requiring everyone in a position to control the content of an educational activity (i.e., directors, planning committee members, faculty) to disclose any relevant financial relationships with commercial interests (drug/device companies) and manage/resolve any conflicts of interest prior to the activity. Individuals must disclose to participants the existence or non-existence of financial relationships at the time of the activity or within 24 months prior.
In addition, BCM has requested activity faculty/presenters to disclose to participants any unlabeled use or investigational use of pharmaceutical/device products; to use scientific or generic names (not trade names) in referring to products; and, if necessary to use a trade name, to use the names of similar products or those within a class. Faculty/presenters have also been requested to adhere to the ACCME's validation of clinical content statements.
BCM does not view the existence of financial relationships with commercial interests as implying bias or decreasing the value of a presentation. It is up to participants to determine whether the relationships influence the activity faculty with regard to exposition or conclusions. If at any time during this activity you feel that there has been commercial/promotional bias, notify the Activity Director or Activity Coordinator. Please answer the questions about balance and objectivity in the activity evaluation candidly.
All of the relevant financial relationships listed for these individuals have been mitigated.
Disclosures
The following individual(s) has/have reported financial or other relationship(s) with commercial entities whose products/services may relate to the educational content of this activity:
Presenters
-
Caroline Chung, M.D., M.Sc.
Vice President and Chief Data and Analytics Officer, Co-Director of the Institute for Data Science in Oncology, Professor of Radiation Oncology and Diagnostic Imaging
The University of Texas MD Anderson Cancer Center
Disclosure:
Nothing to disclose.
-
Craig G. Rusin, Ph.D.
Assistant Professor of Pediatrics, Division of Pediatric Cardiology; Adjunct Assistant Professor of Computational and Applied Mathematics
Baylor College of Medicine; Rice University
Disclosure:
Nothing to disclose.
Activity Directors
-
Ruchi Gaba, M.D, FACE, FEAA
Associate Professor of Endocrinology
Baylor College of Medicine
Disclosure:
Nothing to disclose.
-
Chirayu Shah, M.D., M.Ed.
Associate Professor
Baylor College of Medicine
Disclosure:
Nothing to disclose.
Planning Committee Members
-
Jennifer Benjamin, M.D.
Associate Professor, Assistant Dean of Continuing Professional Development
Baylor College of Medicine
Disclosure:
Nothing to disclose.
-
Ruchi Gaba, M.D, FACE, FEAA
Associate Professor of Endocrinology
Baylor College of Medicine
Disclosure:
Nothing to disclose.
-
Karla Sepulveda, M.D.
Professor of Radiology, Medial Director of Breast Imaging
Baylor College of Medicine
Disclosure:
Nothing to disclose.
-
Chirayu Shah, M.D., M.Ed.
Associate Professor
Baylor College of Medicine
Disclosure:
Nothing to disclose.
-
Farzad Soleimani, M.D.
Assistant Professor of Emergency Medicine
Baylor College of Medicine
Disclosure:
- Advisory Committee Membership: PathEx (current); RizLabs (current); Starling Medical (current)
Health Topics
Presenters:
Caroline Chung, M.D., M.Sc.
Vice President and Chief Data and Analytics Officer, Co-Director of the Institute for Data Science in Oncology, Professor of Radiation Oncology and Diagnostic Imaging The University of Texas MD Anderson Cancer Center