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As technology evolves, it is crucial to develop methods that can effectively be utilized in new forms of imaging and visualization. Here, we introduce a craniometric data collection module within the medical imaging software, Amira, developed to enhance, improve, and expedite large\u2010scale data collection in virtual anthropology. This module's capabilities include 3D visualization of computed tomography (CT) scans and AI\u2010driven assistance in landmark plotting. An output file contains <jats:italic>x<\/jats:italic>, <jats:italic>y<\/jats:italic>, and <jats:italic>z<\/jats:italic> coordinate data of all plotted landmarks and interlandmark distances. Additionally, researchers can plot floating and endocranial landmarks, enhancing the flexibility and comprehensiveness of data collection. A key advantage of this module is its complete customizability. Researchers can tailor the module to fit their objectives. The module's efficiency represents a marked improvement over previous virtual craniometrics data collection methods. In its current form, the module allows researchers to load input files, register the sample skull, and plot 104 cranial landmarks (both ectocranial and endocranial) in approximately 40\u2009min. This is considerably faster than prior approaches. The module demonstrates the potential of leveraging AI and CT scans for the advancement of biological and forensic anthropology. Its integration with Amira's powerful tools provides researchers with a new and valuable resource that sets a new standard for data collection in virtual anthropology.<\/jats:p>","DOI":"10.1002\/ajpa.70106","type":"journal-article","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T09:16:26Z","timestamp":1754558186000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Newly Developed <scp>AI<\/scp>\u2010Assisted Tool for the Collection of Cranial Landmark Data"],"prefix":"10.1002","volume":"187","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4802-7053","authenticated-orcid":false,"given":"Nicollette S.","family":"Appel","sequence":"first","affiliation":[{"name":"Department of Anthropology University of New Mexico  Albuquerque New Mexico USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4450-2729","authenticated-orcid":false,"given":"Kelly R.","family":"Kamnikar","sequence":"additional","affiliation":[{"name":"School of Global Integrative Studies University of Nebraska\u2010Lincoln  Lincoln Nebraska USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Esteban","family":"Rangel","sequence":"additional","affiliation":[{"name":"Department of Anthropology University of New Mexico  Albuquerque New Mexico USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6056-9712","authenticated-orcid":false,"given":"M. Katherine","family":"Spradley","sequence":"additional","affiliation":[{"name":"Department of Anthropology Texas State University  San Marcos Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4093-8143","authenticated-orcid":false,"given":"Heather J. H.","family":"Edgar","sequence":"additional","affiliation":[{"name":"Department of Anthropology University of New Mexico  Albuquerque New Mexico USA"},{"name":"Office of the Medical Investigator  Albuquerque New Mexico USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,8,7]]},"reference":[{"key":"e_1_2_10_2_1","unstructured":"Adams D. C. M. L.Collyer A.Kaliontzopoulou andE. K.Baken.2025.\u201cGeomorph: Software for Geometric Morphometric Analyses. 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