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Zhang D, Wu C, Yang Z, Yin H, Liu Y, Li W, Huang H, Jin Z. The application of artificial intelligence in EUS. Endosc Ultrasound 2024; 13:65-75. [PMID: 38947752 PMCID: PMC11213611 DOI: 10.1097/eus.0000000000000053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/02/2024] Open
Abstract
Artificial intelligence (AI) is an epoch-making technology, among which the 2 most advanced parts are machine learning and deep learning algorithms that have been further developed by machine learning, and it has been partially applied to assist EUS diagnosis. AI-assisted EUS diagnosis has been reported to have great value in the diagnosis of pancreatic tumors and chronic pancreatitis, gastrointestinal stromal tumors, esophageal early cancer, biliary tract, and liver lesions. The application of AI in EUS diagnosis still has some urgent problems to be solved. First, the development of sensitive AI diagnostic tools requires a large amount of high-quality training data. Second, there is overfitting and bias in the current AI algorithms, leading to poor diagnostic reliability. Third, the value of AI still needs to be determined in prospective studies. Fourth, the ethical risks of AI need to be considered and avoided.
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Affiliation(s)
- Deyu Zhang
- Department of Gastroenterology, Changhai hospital, Naval Medical University, Shanghai 200433, China
| | - Chang Wu
- Department of Gastroenterology, Changhai hospital, Naval Medical University, Shanghai 200433, China
| | - Zhenghui Yang
- Department of Gastroenterology, Changhai hospital, Naval Medical University, Shanghai 200433, China
| | - Hua Yin
- Department of Gastroenterology, General Hospital of Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
| | - Yue Liu
- Department of Gastroenterology, Changhai hospital, Naval Medical University, Shanghai 200433, China
| | - Wanshun Li
- Department of Gastroenterology, Changhai hospital, Naval Medical University, Shanghai 200433, China
| | - Haojie Huang
- Department of Gastroenterology, Changhai hospital, Naval Medical University, Shanghai 200433, China
| | - Zhendong Jin
- Department of Gastroenterology, Changhai hospital, Naval Medical University, Shanghai 200433, China
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Palmer M, Kleiner DE, Goodman Z, Brunt E, Avigan MI, Regev A, Hayashi PH, Lewis JH, Mehta R, Harrison SA, Siciliano M, McWherter CA, Vuppalanchi R, Behling C, Miller V, Chalasani N, Sanyal AJ. Liver biopsy for assessment of suspected drug-induced liver injury in metabolic dysfunction-associated steatohepatitis clinical trials: Expert consensus from the Liver Forum. Aliment Pharmacol Ther 2024; 59:201-216. [PMID: 37877759 DOI: 10.1111/apt.17762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 05/25/2023] [Accepted: 10/03/2023] [Indexed: 10/26/2023]
Abstract
BACKGROUND Causality assessment of suspected drug-induced liver injury (DILI) during metabolic dysfunction-associated steatohepatitis (MASH) clinical trials can be challenging, and liver biopsies are not routinely performed as part of this evaluation. While the field is moving away from liver biopsy as a diagnostic and prognostic tool, information not identified by non-invasive testing may be provided on histology. AIM To address the appropriate utilisation of liver biopsy as part of DILI causality assessment in this setting. METHODS From 2020 to 2022, the Liver Forum convened a series of webinars on issues pertaining to liver biopsy during MASH trials. The Histology Working Group was formed to generate a series of consensus documents addressing these challenges. This manuscript focuses on liver biopsy as part of DILI causality assessment. RESULTS Expert opinion, guidance and recommendations on the role of liver biopsy as part of causality assessment of suspected DILI occurring during clinical trials for a drug(s) being developed for MASH are provided. Lessons learned from prior MASH programs are reviewed and gaps identified. CONCLUSIONS Although there are no pathognomonic features, histologic evaluation of suspected DILI during MASH clinical trials may alter patient management, define the pattern and severity of injury, detect findings that favour a diagnosis of DILI versus MASH progression, identify prognostic features, characterise the clinicopathological phenotype of DILI, and/or define lesions that influence decisions about trial discontinuation and further development of the drug.
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Affiliation(s)
| | - David E Kleiner
- Laboratory of Pathology, National Cancer Institute, Bethesda, Maryland, USA
| | - Zachary Goodman
- Center for Liver Diseases, Inova Fairfax Hospital, Falls Church, Virginia, USA
| | - Elizabeth Brunt
- Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri, USA
| | - Mark I Avigan
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA
| | | | - Paul H Hayashi
- Division of Hepatology and Nutrition, Food and Drug Administration, Silver Spring, Maryland, USA
| | - James H Lewis
- Division of Gastroenterology, Georgetown University Hospital, Washington, District of Columbia, USA
| | - Ruby Mehta
- Center for Drug Evaluation and Research Office of New Drugs, Office of Inflammation and Immunity, Division of Hepatology and Nutrition, US Food and Drug Administration, Silver Spring, Maryland, USA
| | | | - Massimo Siciliano
- Fatebenefratelli Gemelli Isola - Rome, Sacred Heart Catholic Univesity, Rome, Italy
| | - Charles A McWherter
- Research and Development, CymaBay Therapeutics, Inc., Newark, California, USA
| | - Raj Vuppalanchi
- Division of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Veronica Miller
- University of California Berkeley, School of Public Health, Forum for Collaborative Research, Washington, District of Columbia, USA
| | - Naga Chalasani
- Indiana University School of Medicine, Indiana University Health, Indianapolis, Indiana, USA
| | - Arun J Sanyal
- Stravitz-Sanyal Institute for Liver Disease and Metabolic Health, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA
- Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA
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