ArticleNPJ digital medicine2025
Randomized comparison of AI enhanced 3D printing and traditional simulations in hepatobiliary surgery.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed.
- Seeing the invisible: Three-dimensional liver modeling from simulation to the scalpel.Annals of hepato-biliary-pancreatic surgery · 2026Review
- Impact of three-dimensional hepatic models on oncological outcomes and survival after hepatectomy: Prognostic factor analysis in a retrospective cohort.Annals of hepato-biliary-pancreatic surgery · 2026Article
- [Minimally invasive liver resection-New techniques].Chirurgie (Heidelberg, Germany) · 2026Review
- Artificial Intelligence in Minimally Invasive and Robotic Gastrointestinal Surgery: Major Applications and Recent Advances.Journal of personalized medicine · 2026Review
- Application and validation of AI-assisted 3D-Printed gastroduodenal anatomical variation models in specialized nursing training.Frontiers in bioengineering and biotechnology · 2026Article
- Simulation-based training and education in laparoscopic hepatobiliary and pancreatic surgery.Frontiers in surgery · 2026Review
- Visualization-driven digital technologies in oncology: current applications, technological advances, and future directions.Frontiers in oncology · 2026Review
- Three-Dimensional Models in Hepatic Surgery: Clinical Outcomes A Single-Center Experience.Journal of clinical medicine · 2025Article
- Synthetic and Tissue-Engineered Vascular Grafts: Current Status, Emerging Technologies, and Clinical Prospects.Reviews in cardiovascular medicine · 2025Review
- Artificial Intelligence and Digital Tools Across the Hepato-Pancreato-Biliary Surgical Pathway: A Systematic Review.Journal of clinical medicine · 2025Review
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We employed a three-phase approach, culminating in a randomized controlled trial, to assess the efficacy of 3D-printed liver models in hepatobiliary surgical planning. Phase one involved developing and selecting 35 optimal 3DP models based on timeliness, cost, precision, and alignment with digital simulations. Phase two utilized deep learning algorithms to optimize the 3D reconstruction process, significantly enhancing efficiency and accuracy compared to manual segmentation. In phase three, a randomized controlled trial with 64 patients compared surgical outcomes between those planned with AI-enhanced physical 3DP models and those with traditional digital simulations. Results demonstrated that 3DP models were produced rapidly (3.52 h at $152 each) with high precision, AI-assisted reconstruction reduced processing time (303.5 vs. 557 min), and patients using AI-enhanced physical 3DP models experienced less intraoperative blood loss. Integrating deep learning with 3D printing offers a cost-effective, scalable method to enhance surgical planning and outcomes in hepatobiliary surgery.
Identifiers
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.