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Enhancing Risk Stratification in Alcoholic Hepatitis: Integrating AI-Based Radiomics with Clinical Predictors

Award Number: K23AA032572
ORGANIZATION: NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: TRAINING/TRAINEESHIP
PERIOD OF PERFORMANCE START DATE: 05/01/2026
PERIOD OF PERFORMANCE END DATE: 04/30/2031

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Enhancing Risk Stratification in Alcoholic Hepatitis: Integrating AI-Based Radiomics with Clinical Predictors - PROJECT SUMMARY AND ABSTRACT Hyunseok Kim, MD, MPH, PhD is an Assistant Professor in the Karsh Division of Gastroenterology and Hepatology at Cedars-Sinai Medical Center. Dr. Kim’s long-term career goal is to become an independent clinical and translational physician-scientist specializing in precision medicine-based diagnosis and treatment of alcohol- associated liver disease (ALD). His overarching research objective is to translate novel imaging biomarker discoveries into the clinical management of ALD. During the award period, Dr. Kim will receive specialized training to enhance my competitiveness for NIH R-series or equivalent funding. This application outlines a research and career development plan crucial for achieving these goals as he transitions to an independent investigator. His research plan aims to enhance risk stratification of alcoholic hepatitis (AH) patients by integrating artificial intelligence-based radiomics (imaging biomarkers) with traditional predictors (clinical, demographic, psychosocial factors) into a superior composite predictive model. AH represents an acute and severe manifestation of ALD that poses a significant health crisis with substantial morbidity and mortality among individuals with a history of excessive alcohol use. Although various blood test-based prognostic scores exist, their predictive accuracy for overall mortality, especially in severe AH cases, is suboptimal. His preliminary work suggests radiomics-based biomarkers in hospitalized AH patients may better predict overall mortality compared to MELD score alone. Thus, our Specific Aims are twofold: 1) Develop a model incorporating imaging biomarkers that can improve the prediction of clinical outcomes in patients with AH and 2) Assess the accuracy of this composite prediction model in retrospective and prospective testing cohorts of AH. Together with the research plan, Dr. Kim have outlined a career development plan that will provide him with specialized training in biomedical imaging research, machine learning bioinformatics, recruiting and longitudinal monitoring of a well-described prospective cohort of AH patients, and grant writing and leadership. His primary mentors are Shelly C. Lu, MD, an internationally recognized expert in ALD with uninterrupted NIH funding since 1992, and Debiao Li, PhD, the founding director of the Cedars-Sinai Medical Center’s Biomedical Imaging Research Institute and a former president of the International Society for Magnetic Resonance in Medicine. The output of this project will be the foundation for our understanding of novel imaging biomarkers in patients with ALD and for enhancing risk stratification to optimize and personalize disease management strategies. He plans to expand this research into a larger cohort of AH patients with potential collaborators from other institutions, forming the basis of a future NIH R01 application.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $196,626 )
2026	2026	CEDARS-SINAI MEDICAL CENTER	8700 BEVERLY BLVD	WEST HOLLYWOOD	CA	90048	LOS ANGELES	USA	Alcohol Research Programs	001	1	5/13/2026	NEW	$0
2026	2026	CEDARS-SINAI MEDICAL CENTER	8700 BEVERLY BLVD	WEST HOLLYWOOD	CA	90048	LOS ANGELES	USA	Alcohol Research Programs	000	1	5/5/2026	NEW	$196,626
														Subtotal = $196,626

Grand Total All Awards = $196,626

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Enhancing Risk Stratification in Alcoholic Hepatitis: Integrating AI-Based Radiomics with Clinical Predictors

Award Number: K23AA032572

ORGANIZATION: NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: TRAINING/TRAINEESHIP

PERIOD OF PERFORMANCE START DATE: 05/01/2026

PERIOD OF PERFORMANCE END DATE: 04/30/2031

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