Evidence map›Paper›PMID 38971627›Full record

ReviewOtolaryngologic clinics of North America2024

Autonomous Robotic Systems in Otolaryngology-Head and Neck Surgery.

Shreya Sriram, Francis X Creighton, Deepa Galaiya

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Otolaryngologic clinics of North America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Shreya SriramJohns Hopkins School of Medicine, Baltimore, MD, USA.
Francis X CreightonDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins Hospital, Baltimore, MD, USA.
Deepa GalaiyaDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: Deepa.galaiya@jhmi.edu.

Funding

Cooperative Control Robotics and Computer Vision: Development of Semi-Autonomous Temporal Bone and Skull Base SurgeryK08DC019708 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI CREIGHTON, FRANCIS XAVIER · 2021 to 2025
$959k
NIDCD NIH HHS K08 DC019708
6 · The paper itself

Abstract

Robotic surgery is a growing field with increasing applications to patient care. With the rising use of artificial intelligence (AI), a new frontier emerges, allowing semiautonomous robotics. This article reviews the origins of robotic surgery and subsequent trials of automaticity in all fields. It then describes specific nascent robotic and semiautonomous surgical prototypes within the field of otolaryngology. Finally, broader systemic considerations are posited regarding the implementation of AI-driven robotics in surgery.

Indexed as

Artificial IntelligenceOtorhinolaryngologic Surgical ProceduresRobotic Surgical ProceduresHumansOtolaryngologyArtificial intelligenceAutonomous systemsForce feedbackHapticsOtolaryngology-head and neck surgeryRobotics

Identifiers

PMID38971627
PMCPMC13657669

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.