Artificial intelligence-driven data expansion for the validation of spinopelvic parameter correlations in asymptomatic subjects.
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| Title: | Artificial intelligence-driven data expansion for the validation of spinopelvic parameter correlations in asymptomatic subjects. |
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| Authors: | Compagnone D; IRCCS Ospedale Galeazzi-Sant´ Ambrogio, Milan, Italy., Lamartina D; Milano, Italy., Giacalone M; Libera Università Maria SS. Assunta ❝Santa Silvia❞, Palermo, Italy., Cecchinato R; IRCCS Ospedale Galeazzi-Sant´ Ambrogio, Milan, Italy. dott.cecchinato@gmail.com.; University of Milan, Milan, Italy. dott.cecchinato@gmail.com., Berjano P; IRCCS Ospedale Galeazzi-Sant´ Ambrogio, Milan, Italy., Lamartina C; IRCCS Ospedale Galeazzi-Sant´ Ambrogio, Milan, Italy. |
| Source: | European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society [Eur Spine J] 2026 Jun 02. Date of Electronic Publication: 2026 Jun 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 9301980 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0932 (Electronic) Linking ISSN: 09406719 NLM ISO Abbreviation: Eur Spine J Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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