Mayo Clinic Innovations in Gastroenterology and Hepatology 2027: Artificial Intelligence and Beyond
This course offers Live (in-person) and Livestream (virtual) attendance options.

Course Directors - Nayantara Coelho-Prabhu, M.B.B.S., Douglas A. Simonetto, M.D., and Shounak Majumder, M.D.
January 22-23, 2027 - Mayo Clinic Integrated Education and Research Building – Phoenix, Arizona
Mayo Clinic Innovations in Gastroenterology and Hepatology: Artificial Intelligence and Beyond is a two-day educational program highlighting notable advancements within digital healthcare, artificial intelligence (AI) applications for the diagnosis and management of gastrointestinal and liver diseases, and state-of-the-art developments in endoscopic techniques and devices. This event is intended for medical students, residents, fellows, practicing gastroenterologists, nurses, physician assistants, nurse practitioners, clinical investigators, researchers, computer scientists, data scientists, AI engineers, and healthcare innovators seeking an informed perspective on current and emerging innovations in the field. This year’s agenda features sessions on large language models, clinical implementation and regulatory framework of AI, and new endoscopic techniques, among other pertinent topics.
Call for Abstracts
As part of the Mayo Clinic Innovations in Gastroenterology and Hepatology 2027: Artificial Intelligence and Beyond, all trainees, physicians, nurses, advanced practice providers, and researchers involved in Gastroenterology and Hepatology are encouraged to submit either a traditional research abstract or an innovative project pitch to be presented at the course. Submissions should be 300 words or less and may include one figure or table.
Submission Eligibility: Original abstracts or innovative pitch ideas that either have or have not been presented at other meetings will be considered.
Submission Criteria
- Create a profile if you have not done so already, then log into your account
- Complete and submit abstract form no later than October 15, 2026
- Abstracts are limited to 300 words
- Complete the form below
Click here to Submit Abstract. E-mail skomer.cassandra@mayo.edu with questions.
Notification of Results: All primary authors will be notified by October 30, 2026, if their submission has been selected for presentation. Details regarding presentation will follow.
Presentation of Submissions: Abstracts and Innovative Pitches chosen for presentation may be uploaded to the conference website and presented during the live & livestream Mayo Clinic Innovations in Gastroenterology and Hepatology 2027: Artificial Intelligence and Beyond on January 22-23, 2027.
Scholarship & Registration Requirements: Primary authors selected for presentation at conference may receive a scholarship to attend the course. Fellows who submitted abstracts but not chosen to present may also receive a scholarship for reduced registration fee to the course.
Abstracts and Innovative Pitch ideas will be evaluated based on quality.To see the course fee, please log in or create an account
| Registration Fee(s) | |
|---|---|
| M.D., D.O., Ph.D. | $450 |
| Allied Health, NP, PA, Retirees | $350 |
Target Audience
Physicians, Scientists, Researchers, PhDs, Data Scientists, Biomedical Engineers, Clinicians, Residents, Fellows, and Clinical Investigators.
Learning Objectives
Upon completion of this activity, participants should be able to:
- Recognize the role of artificial intelligence and digital tools in diagnosis and management of GI diseases.
- Describe recent cutting-edge innovations in endoscopic devices and techniques.
- Develop skills for assessing and developing digital tools for clinical applications in GI and liver diseases.
Attendance at any Mayo Clinic course does not indicate or guarantee competence or proficiency in the skills, knowledge or performance of any care or procedure(s) which may be discussed or taught in this course.
Course summary
- 12.75 AAPA Category 1
- 12.75 AMA PRA Category 1 Credit™
- 12.75 ANCC
- 12.75 Attendance
Mayo Clinic Innovations in Gastroenterology and Hepatology 2027: Artificial Intelligence and Beyond
| ||
Mayo Clinic Integrated Education and Research Building | ||
January 22-23, 2027 | ||
Broadcast in Mountain Time | ||
Friday, January 22, 2027 | ||
7:00 AM | Registration, Breakfast, and Exhibits | |
7:50 AM | Announcements and Opening Remarks: Shounak Majumder | |
The Augmented Endoscopist: Devices, Sensors, and Algorithms | ||
8:00 AM | Robotic colonoscopy: Is it real and do we need it? | |
8:15 AM | New Insights at the GE Junction | |
8:30 AM | Reimagining IBD Endoscopic Assessment with AI | |
8:45 AM | Beyond the lens- sensors guiding endoscopy | |
9:00 AM | Panel Q&A | |
9:15 AM | Refreshment Break and Exhibits | |
Keynotes: From Promise to Practice | ||
9:45 AM | Clinical Implementation of AI: Truths, myths, wins and lessons learned | |
10:15 AM | Endoscopy's next decade: robotics, autonomy, and the limits of the scope | |
10:45 AM | Panel Q&A | |
11:00 AM | Lunch, Poster Presentations, and Exhibits | |
Beyond the Image: Signals, Sound, and Waveforms | ||
12:00 PM | Hidden clues of liver disease in EKG: Doug Simonetto | |
12:15 PM | Listening for hepatic encephalopathy | |
12:30 PM | Endoscopy Video-based AI: Reading between the frames: Naina Coelho | |
12:45 PM | Tracing insights-Machine learning applications in esophageal manometry | |
1:00 PM | Panel Q&A | |
From Documentation to Decisions: AI in the EHR | ||
1:15PM | Addressing Data Gaps in Hepatology with Synthetic Data |
1:30 PM | Using EHR Data to Identify Pancreatic Cancer Risk with AI |
1:45 PM | Closing the loop: Automating surveillance follow-up after colonoscopy |
2:00 PM | IBD topic for EHR based AI: IBD/ Motility or Optimizing your practice in the EHR documentation building and history. |
2:15 PM | Panel Q&A |
2:30 PM | Refreshment Break and Exhibits |
GI Cancer Innovations: Detect, Predict, Decide | |
3:00 PM | The Future of Colon Cancer Screening Beyond the Colonoscope |
3:15 PM | Precision Risk Assessment for Pancreatic Cysts: Shounak Majumder |
3:30 PM | Barrett’s Esophagus 2027: Smarter Screening, Precision Surveillance |
3:45 PM | Rebuilding the Hepatobiliary Tumor Board with AI |
4:00 PM | Panel Q&A |
The Pitch: GI Innovation, Live (7 min pitch, 8 min Q&A) Judge panel: | |
4:15 PM | 4:15 PM – Overview of session by Moderators & Introduction of Judging Panel 4:20 PM – Name and Pitch Title 4:35 PM – Name and Pitch Title 4:50 PM – Name and Pitch Title 5:05 PM – Name and Pitch Title 5:20 PM – Final Q&A from Judging Panel, Attendees, and Selection of “Top Pitch” |
Saturday, January 23, 2027 | |
7:00 AM | Registration, Breakfast, and Exhibits |
7:50 AM | Announcements and Opening Remarks: Naina Coelho |
Digital Pathology and Genomics | |
8:00 AM | The Digital Pathology Revolution: Changes to anticipate in GI and liver disease care |
8:15 AM | Genomics for the Practicing Gastroenterologist |
8:30 AM | Multimodal AI: Inherent challenges and how to overcome them |
8:45 AM | Combining IBD pixels from endoscopy and pathology: How far are we? |
9:00 AM | Panel Q&A |
The GI Innovators Toolkit | |
9:15 AM | FDA, SaMD, and a moving target: What regulation means for your algorithm? |
9:30 AM | Leading research in the AI era |
9:45 AM | Building the next generation of innovators: Pathways and Mentorship |
10:00 AM | Publishing AI studies: reporting standards, reviewer pet peeves, and fatal flaws |
10:15 AM | Panel Q&A |
10:30 AM | Refreshment Break & Exhibits Light lunch |
Selected Oral Abstract Presentations (10+5) | |
11:15 AM | Title and Name of Presenter |
11:30 AM | Title and Name of Presenter |
11:45 AM | Title and Name of Presenter |
12:00 PM | Title and Name of Presenter |
Novel therapies for GI and Liver Diseases | |
12:15 PM | Drug therapies for MASLD: What is in the pipeline |
12:30 PM | Medications for treating pancreatitis: What’s New and What’s Next |
12:45 PM | IBD drug positioning in a crowded market |
1:00 PM | Microbiome therapeutics: what’s new, what’s next |
1:15 PM | Panel Q&A |
1:30 PM | Closing Comments: Doug Simonetto |
| Healthy Snacks and waters |
All travel and lodging expenses are the sole responsibility of the individual registrant.
Travel
Nearby Airport
Phoenix Sky Harbor International Airport (PHX) - 25 miles or approximately 28 minutes to Mayo Clinic Integrated Education and Research Building.
Recreation / Leisure Activities
Click here for recreation or leisure activities in the area.
https://www.experiencescottsdale.com/
Accreditation Statement
In support of improving patient care, Mayo Clinic College of Medicine and Science is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC) to provide continuing education for the healthcare team.
AMA
Mayo Clinic College of Medicine and Science designates this live for a maximum of 12.75 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
AAPA
Mayo Clinic College of Medicine and Science has been authorized by the American Academy of Physician Associates (AAPA) to award AAPA Category 1 CME credit for activities planned in accordance with AAPA CME Criteria. This activity is designated for 12.75 AAPA Category 1 CME credits. PAs should only claim credit commensurate with the extent of their participation.
ANCC
Mayo Clinic College of Medicine and Science designates this activity for a maximum of 12.75 ANCC contact hours. Nurses should claim only the credit commensurate with the extent of their participation in the activity.
Other Healthcare Professionals
A record of attendance will be provided to all registrants for requesting credits in accordance with state nursing boards, specialty societies or other professional associations.
For disclosure information regarding Mayo Clinic School of Continuous Professional Development accreditation review committee member(s) and staff, please go here to review disclosures.
Available Credit
- 12.75 AAPA Category 1
- 12.75 AMA PRA Category 1 Credit™
- 12.75 ANCC
- 12.75 Attendance
Thank you for your interest in Mayo Clinic Innovations in Gastroenterology and Hepatology 2027: Artificial Intelligence and Beyond. This course is currently in the early planning stages. If you’d like to be notified when opportunities become available, please add your name to our Notify Me list. Signing up to be notified will ensure that you receive an email when exhibitor information is available. No additional information is available until then.
To see the course fee, please log in or create an account
| Registration Fee(s) | |
|---|---|
| M.D., D.O., Ph.D. | $450 |
| Allied Health, NP, PA, Retirees | $350 |
Please update your profile
To claim credit for livestream participation in this course, learners must view the content during the hours posted for the live activity. This course is not approved for on-demand delivery.
Commitment to Belonging and Inclusion
Mayo Clinic School of Continuous Professional Development (MCSCPD) strives to foster a learning environment in which all individuals are valued, allowing all to achieve their fullest potential.
Every effort will be made to accommodate dietary requirements; however, some requests may not be feasible based on venue kitchen capabilities. Attendees will be contacted in advance if a dietary restriction cannot be fulfilled.
The Mayo Clinic School of Continuous Professional Development strives for fully accessible learning experiences. If you anticipate any barriers while attending this course, please reach out to the course coordinator who will be in touch with all registrants. If you need disability-related accommodations, please contact the Office of Wellness and Academic Support – Disability Access Services at MCCMS.DS@mayo.edu.
Cancellation and Refund Policy
View Cancellation and Refund Policy
All requests must be submitted in writing using the Contact Us Form.
Any use of this site constitutes your agreement to the Terms and Conditions of Registration.

Facebook
X
LinkedIn
Forward
Notify Me When Mayo Clinic Innovations in Gastroenterology and Hepatology 2027: Artificial Intelligence and Beyond Hotel Information Is Available