Abstracts tagged "informatics"

Abstract Number: 0183 • ACR Convergence 2025
Optimizing the Clinical Application of Rheumatology Guidelines Using Large Language Models: A Retrieval-Augmented Generation Framework Integrating EULAR and ACR Recommendations
Alfredo Madrid¹, Diego Benavent², Chamaida Plasencia-Rodríguez³, Zulema Rosales-Rosado⁴, Beatriz Merino-Barbancho⁵ and DALIFER FREITES⁶, ¹Roche, Global Data Science and Analytics, Madrid, Spain., Madrid, Madrid, Spain, ²Hospital Universitari de Bellvitge, Madrid, Spain, ³Hospital Universitario La Paz, MADRID, Spain, ⁴Grupo de Patología Musculoesquelética. Hospital Clínico San Carlos. Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain, Madrid, Madrid, Spain, ⁵Escuela Técnica Superior de Ingenieros de Telecomunicación. Universidad Politécnica de Madrid. Avenida Complutense, Madrid, Spain, Madrid, Madrid, Spain, ⁶Rheumatology Service, San Carlos Clinical Hospital, Madrid, Madrid, Spain
Background/Purpose: Timely access to current rheumatology guidelines at the point of care presents a significant challenge. Large Language Models (LLMs) offer potential solutions, but their…
Abstract Number: 2667 • ACR Convergence 2025
Amyloidosis Secondary to Familial Mediterranean Fever: Machine Learning Based Prediction Models
Berkay Aktas¹, Enes Azman¹, Yusuf Ecren Oner², kadir Kaya², husnu Mert Yuksel³, Ali Hosgel², Dilan Karahan², Zehra Beyza Coban², Kerem parlar⁴, Ozgur Can Kilinc¹, Beste Acar¹ and serdal Ugurlu⁵, ¹Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey, ²Istanbul University-Cerrahpasa, Istanbul, Turkey, Istanbul, Turkey, ³Istanbul University-Cerrahpasa, Istanbul, Turkey, Istanbul, Istanbul, Turkey, ⁴Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, İstanbul, Turkey, ⁵Istanbul University-Cerrahpasa, Department of Internal Medicine, Division of Rheumatology, Istanbul, Turkey
Background/Purpose: Familial Mediterranean Fever (FMF) is a monogenic autoinflammatory disease caused by MEFV mutations. Amyloidosis remains its most serious complication, with several risk factors reported…
Abstract Number: 2618 • ACR Convergence 2025
Effect of Implementing a Dashboard with or without a Best Practice Alert on HLA-B*58:01 Testing Rates among Allopurinol Users at VA Medical Centers
Abimbola Fadairo-Azinge¹, gabriela Schmajuk², Sristi Sharma³, Colleen Flanagan⁴, Sara Faghihi-Kashani⁵ and Mary Whooley⁶, ¹UNIVERSITY OF CALIFORNIA SAN-FRANCISCO, SAN FRANCISCO, ²University of California, San Francisco, and San Francisco Veterans Affairs Medical Center, San Francisco, CA, ³UNIVERSITY OF CALIFORNIA SAN FRANCISCO, SAN FRANCISCO, ⁴UNIVERSITY OF CALIFORNIA SAN FRANCISCO, SAN FRANCISO, ⁵UCSF, Mountain View, CA, ⁶SFVA, San Francisco
Background/Purpose: The American College of Rheumatology recommends HLA-B*58:01 allele testing before the initiation of allopurinol, specifically among Asian and Black/African American patients, due to their…
Abstract Number: 2471 • ACR Convergence 2025
Automated Feedback and Quality Control in Nailfold Capillaroscopy: A Tool for Clinical and Educational Use
Borja del Carmelo Gracia Tello¹, Gema María Lledó Ibáñez², Luis Sáez Comet³ and Eduardo Ramos ibáñez⁴, ¹Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain, ²Hospital Clínic de Barcelona, Barcelona, Spain, ³Hospital Universitario Miguel Servet, Zaragoza, Spain, ⁴Capillary.io, Zaragoza, Aragon, Spain
Background/Purpose: Nailfold capillaroscopy is a key tool in the early diagnosis of systemic sclerosis and related disorders. However, incorrect image acquisition can lead to misclassification…
Abstract Number: 1953 • ACR Convergence 2025
Machine Learning-Based Classification of Raynaud’s Phenomenon and Autoimmune Diseases in Indeterminate Capillaroscopic Patterns
Genessis Maldonado¹, Adela Marin Ballve², Luis Sáez Comet³, Mayka Freire Dapena⁴, Miguel Antonio Mesa⁵, Miguel Martín Cascón⁶, Gema María Lledó Ibáñez⁷, Elena Martínez Robles⁸, Begoña Marí-Alfonso⁹, Alfredo Guillén del Castillo¹⁰, Carmen Pilar Simeón Aznar¹⁰, Borja del Carmelo Gracia Tello², Eduardo Ramos ibáñez¹¹ and Tracy Frech¹², ¹Vanderbilt University Medical Center, Nashville, ²Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain, ³Hospital Universitario Miguel Servet; Zaragoza, Zaragoza, Spain, ⁴Hospital Clínico Universitario de Santiago de Compostela, La Coruña, Spain, ⁵Universidad Pontificia Bolivariana, Medellin, Colombia, ⁶Hospital General Universitario Morales Meseguer, Murcia, Spain, ⁷Hospital Clínic de Barcelona, Barcelona, Spain, ⁸Hospital Universitario La Paz, Madrid, Spain, ⁹Hospital Universitario Parc Taulí, Barcelona, Spain, ¹⁰Hospital Universitario Vall D´Hebron, Barcelona, Spain, ¹¹Capillary.io, Zaragoza, Aragon, Spain, ¹²Vanderbilt University Medical Center, Nashville, TN
Background/Purpose: Artificial intelligence (AI) has increasingly been integrated into the analysis of nailfold capillaroscopy (NFC), offering new opportunities to automate image interpretation and enhance diagnostic…
Abstract Number: 1834 • ACR Convergence 2025
Integrative Bioinformatics Analysis Reveals Key Genes and Immune Profiles Associated with Preeclampsia in Lupus Pregnancy
Rodolfo Martinez-Canales¹, Eva Abigaid Galindo-Calvillo², Andres M. Ortiz-Rios², Braulio R. Avalos-Garcia², Lorena Perez-Barbosa², Dionicio A. Galarza-Delgado³, Cassandra Michele Skinner-Taylor², Mario Cesar Salinas-Carmona¹ and Noe Macias-Segura¹, ¹Immunology Service, Hospital Universitario Dr. José Eleuterio González, Universidad Autónoma de Nuevo León, Monterrey, Nuevo Leon, Mexico, ²Rheumatology Service, Hospital Universitario Dr. José Eleuterio González, Universidad Autónoma de Nuevo León, Monterrey, Nuevo Leon, Mexico, ³Rheumatology Service, Hospital Universitario Dr. José Eleuterio González, Universidad Autónoma de Nuevo León, Monterrey, Mexico
Background/Purpose: Preeclampsia (PE) is a serious complication of pregnancy associated with significant maternal and fetal outcomes. Systemic lupus erythematosus (SLE) significantly increases the risk of…
Abstract Number: 1827 • ACR Convergence 2025
Transcriptomics and Machine Learning Unraveling the Molecular Drivers of PFAPA Flares
Sivia Lapidus¹, Tresa Ambooken², Ellen Hakim³, Tara Lozy⁴, Elahe Golalipour³, Sohail Adonimohammed⁵, Jennifer Weiss⁶, Suzanne Li⁶, Amanda Nowakowski⁷, Aryeh Lejtman⁸, Aaron Sebbag³, Ariel Aptekmann⁹ and Jigar Desai⁹, ¹Joseph M. Sanzari Children's Hospital, Center for Discovery and Innovation, Hackensack Meridian School of Medicine, Montclair, NJ, ²Food and Drug Administration, Floral Park, NY, ³Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, ⁴Joseph M. Sanzari Children's Hospital, Center for Discovery and Innovation, Hackensack Meridian School of Medicine, Nutley, ⁵Hackensack Meridian School of Medicine, Nutley, NJ, ⁶Joseph M. Sanzari Children's Hospital and Hackensack Meridian School of Medicine, Hackensack, NJ, ⁷Joseph M. Sanzari Children's Hospital, Hackensack Meridian Health, Hackensack, NJ, ⁸Joseph M. Sanzari Children's Hospital and Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, ⁹Center for Discovery and Innovation and Hackensack Meridian School of Medicine, Hackensack Meridian Health, Nutley, NJ
Background/Purpose: Periodic Fever, Aphthous Stomatitis, Pharyngitis, and Adenitis (PFAPA) is the most common periodic fever presenting with frequent episodes of pain and impaired function. While…
Abstract Number: 1702 • ACR Convergence 2025
Powerful and Accurate Case-Control Analysis of Spatially Resolved Molecular Data in Autoimmune Disease
Yakir Reshef¹, Lakshay Sood¹, Michelle Curtis¹, Laurie Rumker², DANIEL STEIN³, Mukta Palshikar¹, Saba Nayar⁴, Andrew Filer⁵, Anna Helena Jonsson⁶, ilya Korsunsky⁷ and Soumya Raychaudhuri⁷, ¹Brigham and Women's Hospital, Boston, ²Broad Institute, Boston, ³Harvard University, Boston, ⁴University of Birmingham, Birmingham, United Kingdom, ⁵The University of Birmingham, Birmingham, United Kingdom, ⁶University of Colorado School of Medicine, Aurora, CO, ⁷Brigham and Women's Hospital, Boston, MA
Background/Purpose: Autoimmune diseases such as rheumatoid arthritis (RA) involve complex spatial organization of immune and stromal cells within inflamed tissues. As spatial molecular profiling methods…
Abstract Number: 1657 • ACR Convergence 2025
Extracting TNF Inhibitor Switching Reasons and Trajectories From Real-World Data Using Large Language Models
Brenda Miao¹, Marie Binvignat², Augusto Garcia-Agundez³, Maxim Bravo⁴, Christopher Williams⁵, Claire Miao⁴, Ahmed Alaa⁶, Vivek Rudrapatna⁵, gabriela Schmajuk⁷ and Jinoos Yazdany³, ¹UCSF, Fremont, CA, ²Sorbonne University, Paris, France, ³UCSF, San Francisco, CA, ⁴UC Berkeley, San Francisco, ⁵UCSF, San Francisco, ⁶UC Berkeley, Berkeley, ⁷University of California, San Francisco, and San Francisco Veterans Affairs Medical Center, San Francisco, CA
Background/Purpose: Tumor necrosis factor inhibitors (TNFi) are cornerstones of autoimmune‑disease therapy, yet many patients switch agents because of loss of effectiveness, adverse events, or insurance…
Abstract Number: 1477 • ACR Convergence 2025
Can Large Language Models Support Clinical Decision-Making in Atypical SLE? A Comparative Analysis
Beste Acar¹, Berkay Aktas¹, Oguzhan Omer Kizilkaya¹, Zekayi Kutlubay² and serdal Ugurlu³, ¹Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey, ²Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of Dermatology, Istanbul, Turkey, Istanbul, Istanbul, Turkey, ³Istanbul University-Cerrahpasa, Department of Internal Medicine, Division of Rheumatology, Istanbul, Turkey
Background/Purpose: This study evaluates the contributions of large language models (LLMs) in clinical decision-making for atypical presentations of systemic lupus erythematosus (SLE). It focuses on…
Abstract Number: 1357 • ACR Convergence 2025
Measuring Rheumatoid Arthritis Outcomes Using Machine Learning Imputed Disease Activity Scores
Jue Hou¹, Feiqing Huang², Gregory McDermott³, Jun Wen⁴, Mary Jeffway³, Ying Qi⁵, Yunqing Han³, Tianrun Cai⁶, Florence Bourgeois⁴, Katherine Liao⁷ and Tianxi Cai², ¹University of Minnesota, Minneapolis, MN, ²Harvard T.H. Chan School of Public Health, Boston, ³Brigham and Women's Hospital, Boston, ⁴Harvard Medical School, Boston, ⁵Brigham and Women’s Hospital, Boston, ⁶Brigham and Women's Hospital, Boston, MA, ⁷Division of Rheumatology, Inflammation, and Immunity, Brigham and Women’s Hospital, Boston, MA, USA, Boston, MA
Background/Purpose: Validated rheumatoid arthritis (RA) disease activity measures such as the Disease Activity Score-28 (DAS28) are used in clinical trials but not universally recorded in…
Abstract Number: 0532 • ACR Convergence 2025
Generative artificial intelligence provides synthetic data to discriminate patients with seronegative rheumatoid arthritis versus psoriatic arthritis sine psoriasis
Antonio Tonutti¹, Saverio D'Amico², Pierandrea Morandini², Cosimo Faeti², Elisa Barone¹, Nicoletta Luciano¹, Victor Savevski² and Carlo Selmi³, ¹Humanitas University, Pieve Emanuele, Italy, ²IRCCS Humanitas Research Hospital, Rozzano, Italy, ³Humanitas University, Milan, Italy
Background/Purpose: Distinguishing seronegative rheumatoid arthritis (RA) from psoriatic arthritis (PsA) sine psoriasis remains challenging, often relying on pathognomonic features (axial involvement, enthesitis) present in only…
Abstract Number: 0527 • ACR Convergence 2025
Gaps In Documentation Of Psoriatic Arthritis Domains In General Rheumatologic Practices Compared To Rheumatology-Dermatology Combined Clinics
Alexandra Lauren Rice¹, Sarah Hopkins Gillespie², Nikhil Sai³, Soumya Reddy¹, Joseph Merola⁴, Rebecca Haberman⁵, Alexis Ogdie⁶ and Jose Scher⁷, ¹NYU Grossman School of Medicine, New York, NY, ²University of Pennsylvania, Philadelphia, PA, ³University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, ⁴UT Southwestern Medical Center, Dallas, TX, ⁵NYU Langone Health, New York, NY, ⁶Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Wilmington, DE, ⁷New York University School of Medicine, New York, NY
Background/Purpose: To apply current treatment recommendations for psoriatic arthritis (PsA), clinicians must perform a comprehensive assessment of psoriatic disease domains, including a musculoskeletal exam (tender…
Abstract Number: 0448 • ACR Convergence 2025
Implementing Artificial Intelligence to Identify Rheumatoid Arthritis Flares Using Electronic Medical Records Processed with Privacy-Preserving Large Language Models: A Pilot Study
Ioannis Koulas¹, Nikolaos Tsaftaridis², Marios Gkionis³, Giancarlo Paternoster⁴, Sunit Jariwala⁵ and Konstantinos Loupasakis⁶, ¹Jacobi Medical Center/Albert Einstein College of Medicine, Bronx, NY, ²The Feinstein Institutes for Medical Research, Manhasset, ³NTNU, Department of Engineering Cybernetics, Trondheim, Norway, ⁴Albert Einstein College of Medicine, Bronx, NY, ⁵Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, NY, ⁶Montefiore Medical Center/ Albert Einstein College of Medicine, Bronx, NY
Background/Purpose: Although Large Language Models (LLMs) have been successfully used in the analysis of data from Electronic Health Records (EHRs), their implementation in the field…
Abstract Number: 0229 • ACR Convergence 2025
Leveraging the Electronic Medical Record to Improve the Rate of Discrete Data Collection in a Pediatric Rheumatology Clinic
Lisa Buckley¹ and Eli Lourie², ¹Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, TN, ²Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
Background/Purpose: A systematic approach to clinical data collection is critical to enhancing patient outcomes, enabling research and quality improvement initiatives, and benchmarking performance. This quality…

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