Evidence map›Paper›PMID 42749809›Full record

ArticleNature2026

Rapid patient-specific neural networks for X-ray to volume registration.

Vivek Gopalakrishnan, David-Dimitris Chlorogiannis, Andrew Abumoussa, Anna M Larson, Nazim Haouchine, Darren B Orbach, Sarah Frisken, Neel Dey, Polina Golland

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations.Advances in neural information processing systems · 2025
    Article
  3. Article
  4. Spatiotemporally constrained 3D reconstruction from biplanar digital subtraction angiography.International journal of computer assisted radiology and surgery · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Vivek GopalakrishnanHarvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA. vivekg@csail.mit.edu.ORCID http://orcid.org/0000-0003-4349-8526
David-Dimitris ChlorogiannisDepartment of Radiology, Harvard Medical School, Boston, MA, USA.
Andrew AbumoussaSaint Luke's Marion Bloch Neuroscience Institute, Kansas City, MO, USA.
Anna M LarsonPediatric Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA.
Nazim HaouchineDepartment of Radiology, Harvard Medical School, Boston, MA, USA.
Darren B OrbachDepartment of Interventional Neuroradiology, Boston Children's Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1793-3398
Sarah FriskenDepartment of Radiology, Harvard Medical School, Boston, MA, USA.
Neel DeyComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA. dey@csail.mit.edu.ORCID http://orcid.org/0000-0003-1427-6406
Polina GollandHarvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA. polina@csail.mit.edu.ORCID http://orcid.org/0000-0003-2516-731X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced navigation techniques in image-guided interventions and surgical robotics require the rapid and precise alignment of three-dimensional (3D) preoperative volumes (such as computed tomography and magnetic resonance imaging) to two-dimensional (2D) intraoperative images (such as X-ray fluoroscopy)

Identifiers

PMID42749809

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.