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CO:05:2 | An OMERACT study for the development of an algorithm for automatic identification of calcium pyrophosphate deposition by ultrasound: the Crystal Artificial Intelligence Monitoring Study Daniele Cirillo1, Tito Bassani2, Silvia Sirotti1|2, Greta Pellegrino1|2, Alessandro Lucia1, Rodolfo Fabbri1, Laura Pezzoni1, Piercarlo Sarzi Puttini1|2, Georgios Filippou1|2. | 1Università degli Studi di Milano; 2IRCCS Ospedale Galeazzi - Sant'Ambrogio, Milano, Italy
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PO:38:283 | Accuracy of chatgpt 4 omni in providing clinical recommendations in musculoskeletal care: a valuable support for clinicians and patients? Dario Taborelli1, Silvia Negro1, Federico Padovani2, Tiziano Innocenti1|3, Stefano Salvioli1 | 1DINOGMI, Università di Genova, Savona; 2Dipartimento di Neuroscienze e Riabilitazione, Università di Ferrara; 3GIMBE Foundation, Bologna, Italy
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PO:38:280 | Accuracy of generative artificial intelligence in risk of bias assessment using RoB 2.0 tool and extracting data in exercise therapy for chronic low back pain randomised controlled trials Luca Carrer1, Marco Pozzati2, Dario Taborelli1, Niccolò Maschi1, Tiziano Innocenti1|3, Stefano Salvioli1 | 1DINOGMI, Università di Genova, Savona; 2Dipartimento di Neuroscienze e Riabilitazione, Università di Ferrara; 3GIMBE Foundation, Bologna, Italy
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PO:09:139 | Comparative evaluation of GPT-4.0, Claude 4, and MedGEMMA in automatic Kellgren-Lawrence grading of knee osteoarthritis Teresa Caferri1, Vincenzo Venerito1, Angela Carenza1, Daniele Catamerò1, Daniele Domanico1, Sergio Del Vescovo1, Lucia Cristiana Colaprico1, Lavista Marlea1, Maria Giannotta1, Giuseppe Lopalco1, Florenzo Iannone1. | 1Rheumatology Unit, Department of Precision and Regenerative Medicine and Jonian Area, University of Bari, Bari, Italy.
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CO:05:1 | Predicting one-year disease activity in systemic lupus erythematosus using machine learning and explainable AI Pier Giacomo Cerasuolo1, Augusta Ortolan1, Livia Lilli2, Laura Antenucci2, Carlotta Maschiocchi2, Jacopo Lenkowicz2, Lucia Lanzo1, Luca Petricca1, Maria Rita Gigante1, Vivianaantonella Pacucci1, Pierluigi Rizzuti1, Rebecca Ventura1, Silvia Piunno1, Cesare Gavotti1, Marco Gorini3, Gabriella Castellino3, Alfredo Cesario2, Stefano Patarnello2, Silvia Laura Bosello1, Maria Antonietta D'Agostino1. | 1UOC di Reumatologia ed Immunologia Clinica, Fondazione Policlinico A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma; 2Gemelli Generator, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma; 3AstraZeneca Italy, MIND, Milano, Italy
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PO:32:185 | Deep-learning analysis of high-resolution computed tomography images predicts progression and mortality in systemic sclerosis related interstitial lung disease Valentina Boni1, Rosa D'Abronzo2, Piergiacomo Cerasuolo1, Lucio Calandriello2, Giuseppe Cicchetti2, Gerlando Natalello1, Bruno Iovene5, Francesco Varone5, Giacomo Sgalla5, Luca Richeldi5, Anna Rita Larici2|4, Maria Antonietta D'Agostino1|3, Silvia Laura Bosello1|3, Enrico De Lorenzis1. | 1Division of Rheumatology and Clinical Immunology Catholic Univeristy of the Sacred Heart, Rome, Italy; 2Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Diagnostic Imaging Area, Catholic University, Rome, Italy; 3Department of Geriatric and Orthopaedic Sciences, Catholic Univeristy of the Sacred Heart, Rome, Italy; 4Department of Radiological and Hematological Sciences, Section of Radiology, Catholic Univeristy of the Sacred Heart, Rome, Italy; 5Division of Pulmonary Medicine, Catholic University of the Sacred Heart, Roma, Italy.
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