ArticleScientific reports2025
brain2print AI powered web tool for creating 3D printable brain models.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- From fragmented neurotechnologies to closed-loop brain health systems: integrating artificial intelligence, digital health, digital twins, and advanced materials for brain disorders.Frontiers in bioengineering and biotechnology · 2026Article
- Applications of 3D Printing and Virtual Modeling in the Assessment of Visceral and Renal Artery Aneurysms.Journal of clinical medicine · 2025Article
- Harnessing team science in dementia research: Insights from the Alzheimer's disease research group in South Carolina.Journal of Alzheimer's disease reportsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
We introduce brain2print, a web-based application that converts T1-weighted MRI scans into 3D printable models. By leveraging artificial intelligence (AI), brain2print performs all computations directly on the user's device, preserving privacy while removing the need for any software installation. This open-source tool enables users to convert voxel-based imaging into 3D meshes, thus facilitating broader access to 3D printing for educational, clinical, and research purposes. Prior methods for converting MRI scans into printable meshes were time-consuming and required multiple software tools, some of which are difficult to install and use. In contrast, brain2print provides a seamless and fast alternative. Users can drag and drop MRI scans onto the web page, select the desired AI segmentation models, and create a mesh that can be customized for complexity and structure, resulting in models ready for 3D printing. The zero-footprint design of brain2print ensures broad compatibility across devices, as it operates entirely in the browser. This approach not only simplifies the process but also safeguards user privacy by keeping all data on local hardware.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.