ReviewEBioMedicine2019
Digital and intelligent liver surgery in the new era: Prospects and dilemmas.
Review in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.
- Indocyanine green fluorescence navigation in robotic liver segmentectomies: a systematic review and meta-analysis.Journal of robotic surgery · 2025Pooled it
- Real-time navigation for laparoscopic hepatectomy using image fusion of preoperative 3D surgical plan and intraoperative indocyanine green fluorescence imaging.Surgical endoscopy · 2020Trial
- Review
- Randomized comparison of AI enhanced 3D printing and traditional simulations in hepatobiliary surgery.NPJ digital medicine · 2025Article
- Application of imaging technology for the diagnosis of malignancy in the pancreaticobiliary duodenal junction (Review).Oncology letters · 2024Review
- Minimally invasive removal of a foreign body in the pancreas using digital intelligent technology: a case report.The Journal of international medical research · 2024Article
- A pilot study of virtual liver segment projection technology in subsegment-oriented laparoscopic anatomical liver resection when indocyanine green staining fails (with video).Surgical endoscopy · 2024Article
- Laparoscopic left hemihepatectomy using augmented reality navigation plus ICG fluorescence imaging for hepatolithiasis: a retrospective single-arm cohort study (with video).Surgical endoscopy · 2024Article
- Utilization of 3D printing technology in hepatopancreatobiliary surgery.Journal of Zhejiang University. Science. B · 2024Article
- Can Hisense computer-assisted surgery system (Hisense CAS) improve anatomy teaching in pediatric liver surgery?Surgical and radiologic anatomy : SRA · 2024Article
- ASO Author Reflections: Laparoscopic Resection of the Middle Bile Duct for Cholangiocarcinoma: How We Do It (with Video).Annals of surgical oncology · 2024Article
- Quantitative anatomy of the large variant right hepatic vein: A systematic three-dimensional analysis.Journal of anatomy · 2024Article
- 3D printing of self-healing personalized liver models for surgical training and preoperative planning.Nature communications · 2023Article
- Recent advances in computerized imaging and its vital roles in liver disease diagnosis, preoperative planning, and interventional liver surgery: A review.World journal of gastrointestinal surgery · 2023Review
- Three-dimensional visualization and evaluation of hilar cholangiocarcinoma resectability and proposal of a new classification.World journal of surgical oncology · 2023Article
- Preoperative planning and intraoperative real-time navigation with indocyanine green fluorescence in robotic liver surgery.Langenbeck's archives of surgery · 2023Article
- Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images.Visual computing for industry, biomedicine, and art · 2023Review
- Review
- Mixed reality navigation training system for liver surgery based on a high-definition human cross-sectional anatomy data set.Cancer medicine · 2023Article
- Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology.Biophysics reviews · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite tremendous advances in traditional imaging technology over the past few decades, the intraoperative identification of lesions is still based on naked eye observation or pre-operative image evaluation. However, these two-dimensional image data cannot objectively reflect the complex anatomical structure of the liver and the detailed morphological features of the lesion, which directly limits the clinical application value of these imaging data in surgery in that it cannot improve the curative efficacy of surgery and the prognosis of the patient. This traditional mode of diagnosis and treatment has been changed by digital medical imaging technology in the new era with its significant function of accurate and efficient diagnosis of diseases, selection of reasonable treatment schemes, improvement of radical resection rate and reduction of surgical risk. In this paper, we reviewed the latest application of digital intelligent diagnosis and treatment technology related to liver surgery in the hope that it may help to achieve accurate treatment of liver surgery diseases.
Indexed as
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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.