<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Khalsa A</submitter><pubmed_abstract>Study DesignRetrospective cohort study.ObjectivesPostoperative surgical site infections (SSI) remain a major cause of morbidity and cost in spine surgery. Existing risk calculators have limited applicability in this population. This study introduces a literature-informed, point-based SSI calculator designed to complement standard preoperative assessment. GPT-4 (OpenAI, San Francisco, CA) was used solely for structured literature synthesis and preliminary variable weighting.MethodsAdult patients undergoing spine surgery at a single academic center (2019-2025) were retrospectively reviewed. A 29-variable AI-assisted risk calculator integrating demographic, clinical, laboratory, and surgical factors was developed. SSI was defined using CDC/NHSN criteria with a 90-day window. Risk calculator p</pubmed_abstract><journal>Global spine journal</journal><pagination>21925682251415176</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12774816</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>AI-Assisted, Literature-Informed Development and Retrospective Validation of a Point-Based Surgical Site Infection Risk Calculator for Spine Surgery.</pubmed_title><pmcid>PMC12774816</pmcid><pubmed_authors>Capone G</pubmed_authors><pubmed_authors>Kwon M</pubmed_authors><pubmed_authors>Assefa T</pubmed_authors><pubmed_authors>Peregoff J</pubmed_authors><pubmed_authors>Turlip RW</pubmed_authors><pubmed_authors>Zemberi J</pubmed_authors><pubmed_authors>Casper D</pubmed_authors><pubmed_authors>Hassan Z</pubmed_authors><pubmed_authors>Okorie N</pubmed_authors><pubmed_authors>Moser A</pubmed_authors><pubmed_authors>Khalsa A</pubmed_authors><pubmed_authors>Uzosike O</pubmed_authors><pubmed_authors>Cieplik NM</pubmed_authors></additional><is_claimable>false</is_claimable><name>AI-Assisted, Literature-Informed Development and Retrospective Validation of a Point-Based Surgical Site Infection Risk Calculator for Spine Surgery.</name><description>Study DesignRetrospective cohort study.ObjectivesPostoperative surgical site infections (SSI) remain a major cause of morbidity and cost in spine surgery. Existing risk calculators have limited applicability in this population. This study introduces a literature-informed, point-based SSI calculator designed to complement standard preoperative assessment. GPT-4 (OpenAI, San Francisco, CA) was used solely for structured literature synthesis and preliminary variable weighting.MethodsAdult patients undergoing spine surgery at a single academic center (2019-2025) were retrospectively reviewed. A 29-variable AI-assisted risk calculator integrating demographic, clinical, laboratory, and surgical factors was developed. SSI was defined using CDC/NHSN criteria with a 90-day window. Risk calculator p</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-06-06T13:04:14.783Z</modification><creation>2026-05-30T03:11:37.296Z</creation></dates><accession>S-EPMC12774816</accession><cross_references><pubmed>41490806</pubmed><doi>10.1177/21925682251415176</doi></cross_references></HashMap>