Evidence map›Paper›PMID 42836433›Full record

ReviewThe international journal of medical robotics + computer assisted surgery : MRCAS2026

A Review of Robotic Surgery: Engineering Considerations and Future Directions From Surgeons' Perspectives.

Noah Shaikh, Walter Fitschen, Abhinaba Bhattacharjee, Dimitrios Stefanidis, Michael W Sim, Meghan T Turner, Sohel Anwar, Muhammad Ashraful Alam

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The international journal of medical robotics + computer assisted surgery : MRCAS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Noah ShaikhDepartment of Otolaryngology, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0002-4834-2769
Walter FitschenDepartment of Otolaryngology, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0002-5867-7351
Abhinaba BhattacharjeeSchool of Mechanical Engineering, Purdue University, College of Engineering, West Lafayette, Indiana, USA.ORCID https://orcid.org/0000-0002-4383-916X
Dimitrios StefanidisDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0002-2177-0763
Michael W SimDepartment of Otolaryngology, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0001-6571-9452
Meghan T TurnerDepartment of Otolaryngology, West Virginia University School of Medicine, Morgantown, West Virginia, USA.ORCID https://orcid.org/0000-0001-8621-6168
Sohel AnwarDepartment of Mechanical Engineering, Purdue University, Indianapolis, Indiana, USA.ORCID https://orcid.org/0000-0001-5245-6286
Muhammad Ashraful AlamSchool of Electrical and Computer Engineering, Purdue University, College of Engineering, West Lafayette, Indiana, USA.ORCID https://orcid.org/0000-0001-8775-6043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSince its initial inception, robotic-assisted minimally invasive surgery (RAMIS) is continually being applied to a wider array of procedures. However, there are significant limitations in current surgical subsystems, including a large learning curve, lack of effective haptic feedback, decreased surgical intuition, and decreased dexterity.

methodsA narrative review of the literature was conducted to provide an overview of key developments in the field. Relevant articles were identified through searches of PubMed, IEEE, Google Scholar, and EMBASE, along with manual screening of references.

resultsA selection of representative articles covering topics including teleoperation, kinematics, dynamics, and haptic feedback is discussed to highlight major themes and recent advances.

conclusionsDespite recent advances, limitations to operator experience remain. Numerous strategies and approaches are currently being proposed and explored to further advance surgical subsystems, improving dexterity, haptic feedback, movement time delay, and learning curve.

Indexed as

Robotic Surgical ProceduresSurgeonsBiomechanical PhenomenaFeedbackHaptic InterfacesHumansLearning CurveMinimally Invasive Surgical Proceduresengineeringhaptic technologyinvasive surgerylearning curvemedicinerobotic surgeryteleoperationtelerobotics

Identifiers

PMID42836433
PMCPMC13640045

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.