Machine learning-based models for preoperative prediction of pituitary adenoma consistency: a systematic review and meta-analysis.

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Bibliographic Details
Title: Machine learning-based models for preoperative prediction of pituitary adenoma consistency: a systematic review and meta-analysis.
Authors: Hajikarimloo B; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA. bardii47@yahoo.com., Mohammadzadeh I; Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Tos SM; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA., Mortezaei A; Student Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran., Habibi MA; Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Source: Acta neurochirurgica [Acta Neurochir (Wien)] 2026 Jan 24; Vol. 168 (1), pp. 23. Date of Electronic Publication: 2026 Jan 24.
Publication Type: Journal Article; Systematic Review; Meta-Analysis; Review
Journal Info: Publisher: Springer Country of Publication: Austria NLM ID: 0151000 Publication Model: Electronic Cited Medium: Internet ISSN: 0942-0940 (Electronic) Linking ISSN: 00016268 NLM ISO Abbreviation: Acta Neurochir (Wien) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:0942-0940
DOI:10.1007/s00701-026-06775-w