Artificial Intelligence: Transforming Liver Patient Care
Nov
08
2025
Convention Center: Room 209, Level 2
8:00 AM - 9:30 AM
Description
Artifical intelligence (AI) affects multiple areas of our lives as clinicians, researchers, and patients. This session focuses on the rapidly evolving role of AI in liver disease care. Experts address (1) the potential role of AI in predicting disease progression, treatment response, and long-term outcomes; (2) limitations and challenges in the use of AI in the liver care setting; and (3) how AI is influencing communication between clinicians and their patients.Presentations
8:00 AM - 8:15 AM
Nov
08
2025
Washington, D.C.
How Artificial Intelligence Tools Are Influencing Patient-Clinician Interactions
Ashley L Spann, MD, MS, Presenter
Acute Liver Failure
Acute-on-Chronic Liver Failure
ALD
Cirrhosis and Portal Hypertension
Drug-Induced Liver Injury
Hepatitis
Hepatology Associates
Liver Cancer
MASLD
Patient Program
Pediatrics
Trainee
Transplant
8:15 AM - 8:30 AM
Nov
08
2025
Washington, D.C.
Artificial Intelligence in the Clinical Care Setting: Electronic Medical Records, Approvals/Denials, and Patient Portal Responses
Nicola Pugliese, MD, Presenter
Acute Liver Failure
Acute-on-Chronic Liver Failure
ALD
Cirrhosis and Portal Hypertension
Drug-Induced Liver Injury
Hepatitis
Hepatology Associates
Liver Cancer
MASLD
Patient Program
Pediatrics
Trainee
Transplant
8:30 AM - 8:45 AM
Nov
08
2025
Washington, D.C.
How Patients Are Using Artificial Intelligence in Their Health Care: What Is Working and What Is Not Working
Rick Jaenisch, Presenter
Acute Liver Failure
Acute-on-Chronic Liver Failure
ALD
Cirrhosis and Portal Hypertension
Drug-Induced Liver Injury
Hepatitis
Hepatology Associates
Liver Cancer
MASLD
Patient Program
Pediatrics
Trainee
Transplant
8:45 AM - 9:00 AM
Nov
08
2025
Washington, D.C.
Limitations and Challenges in Use of Artificial Intelligence, Including Risk of Biases
Rodney Sappington, Presenter
Acute Liver Failure
Acute-on-Chronic Liver Failure
ALD
Cirrhosis and Portal Hypertension
Drug-Induced Liver Injury
Hepatitis
Hepatology Associates
Liver Cancer
MASLD
Patient Program
Pediatrics
Trainee
Transplant
Objectives
- Evaluate the potential of artificial intelligence (AI) in predicting disease progression, treatment response, and long-term outcomes in liver diseases.
- Discuss the limitations and challenges of AI in liver health, including accuracy, data quality, and potential biases.
- Examine how AI tools are influencing patient-clinician interactions.