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  Computed tomography of interstitial lung disease in systemic sclerosis: dataset and deep learning model for pulmonary lesion segmentation

  Amir M. Vahdani, Aida Mohamadi, Sepehr Nayebirad, Shayan Forghani, Elaheh Karimi, Yousef Vojgani, Zahra Tamartash, Mehrnaz Asadi, Leila Aghaghazvini, Farhad Gharibdoost, Hoda Kavosi

  25-02-2026

  https://doi.org/10.4081/reumatismo.2026.1920

  397

  PDF: 17

  SUPPLEMENTARY MATERIAL: 16

• 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 Larici^2|4, Maria Antonietta D'Agostino^1|3, Silvia Laura Bosello^1|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.

  Società Italiana di Reumatologia

  25-11-2025

  https://doi.org/10.4081/reumatismo.2025.2079

  115

• 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 Sirotti^1|2, Greta Pellegrino^1|2, Alessandro Lucia¹, Rodolfo Fabbri¹, Laura Pezzoni¹, Piercarlo Sarzi Puttini^1|2, Georgios Filippou^1|2. | ¹Università degli Studi di Milano; ²IRCCS Ospedale Galeazzi - Sant'Ambrogio, Milano, Italy

  Società Italiana di Reumatologia

  25-11-2025

  https://doi.org/10.4081/reumatismo.2025.1971

  163

• 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 Innocenti^1|3, Stefano Salvioli¹ | ¹DINOGMI, Università di Genova, Savona; ²Dipartimento di Neuroscienze e Riabilitazione, Università di Ferrara; ³GIMBE Foundation, Bologna, Italy

  Società Italiana di Reumatologia

  25-11-2025

  https://doi.org/10.4081/reumatismo.2025.2226

  121