Evidence map›Paper›PMID 39886261›Full record

ArticleInternational journal of control, automation, and systems2024

Design and Experimental Evaluation of a Leader-follower Robot-assisted System for Femur Fracture Surgery.

Fayez H Alruwaili, Michael P Clancy, Marzieh S Saeedi-Hosseiny, Jacob A Logar, Charalampos Papachristou, Christopher Haydel, Javad Parvizi, Iulian I Iordachita, Mohammad H Abedin-Nasab

Abstract read
In one paragraph

Article in International journal of control, automation, and systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Fayez H AlruwailiBiomedical Engineering Department, Rowan University, Glassboro, NJ 08028, USA.
Michael P ClancyBiomedical Engineering Department, Rowan University, Glassboro, NJ 08028, USA.
Marzieh S Saeedi-HosseinyElectrical and Computer Engineering Department, Rowan University, Glassboro, NJ 08028, USA.
Jacob A LogarBiomedical Engineering Department, Rowan University, Glassboro, NJ 08028, USA.
Charalampos PapachristouCollege of Science & Mathematics, Rowan University, Glassboro, NJ 08028, USA.
Christopher HaydelOrthopedic Trauma Surgery with Virtua Health, Moorestown, NJ 08057, USA.
Javad ParviziRothman Orthopedic Institute, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA.
Iulian I IordachitaLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD 21218, USA.
Mohammad H Abedin-NasabBiomedical Engineering Department, Rowan University, Glassboro, NJ 08028, USA.ORCID 0000-0002-0879-3418

Funding

Image-Guided Surgical Robotic System for Femur Fracture ReductionR01EB036365 · NIBIB · ROWAN UNIVERSITY · PI Mohammad Abedin Nasab, IULIAN IOAN IORDACHITA · 2024 to 2026
$1.4M
NIBIB NIH HHS R01 EB036365
6 · The paper itself

Abstract

In the face of challenges encountered during femur fracture surgery, such as the high rates of malalignment and X-ray exposure to operating personnel, robot-assisted surgery has emerged as an alternative to conventional state-of-the-art surgical methods. This paper introduces the development of a leader-follower robot-assisted system for femur fracture surgery, called Robossis. Robossis comprises a 7-DOF haptic controller and a 6-DOF surgical robot. A control architecture is developed to address the kinematic mismatch and the motion transfer between the haptic controller and the Robossis surgical robot. A motion control pipeline is designed to address the motion transfer and evaluated through experimental testing. The analysis illustrates that the Robossis surgical robot can adhere to the desired trajectory from the haptic controller with an average translational error of 0.32 mm and a rotational error of 0.07°. Additionally, a haptic rendering pipeline is developed to resolve the kinematic mismatch by constraining the haptic controller's (user's hand) movement within the permissible joint limits of the Robossis surgical robot. Lastly, in a cadaveric lab test, the Robossis system was tested during a mock femur fracture surgery. The result shows that the Robossis system can provide an intuitive solution for surgeons to perform femur fracture surgery.

Indexed as

Haptic renderingkinematic mismatchRobossisrobot-assisted surgery

Identifiers

PMID39886261
PMCPMC11781588

What OpenQuestion holds

Textmetadata
LicenceTDM
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.