Evidence map›Paper›PMID 42610084›Full record

ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2026

From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training.

Jumanh Atoum, Fangjie Li, Ayberk Acar, Nicholas L Kavoussi, Jie Ying Wu

Abstract read
In one paragraph

Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 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

5 authors.

Jumanh AtoumVanderbilt University, Nashville, TN, USA.
Fangjie LiVanderbilt University, Nashville, TN, USA.
Ayberk AcarVanderbilt University, Nashville, TN, USA.
Nicholas L KavoussiVanderbilt University Medical Center, Nashville, TN, USA.
Jie Ying WuVanderbilt University, Nashville, TN, USA.

Funding

Development and Validation of Gaze-based Training for Endoscopic Kidney Stone SurgeryR21EB035783 · NIBIB · VANDERBILT UNIVERSITY · PI KAVOUSSI, NICHOLAS L, WU, JIE YING · 2024 to 2024
$398k
NIBIB NIH HHS R21 EB035783Wellcome Trust
6 · The paper itself

Abstract

The number of kidney stone cases in the U.S. has tripled since 1980. Unfortunately, 23% of kidney stone removal surgeries require repeat procedures within 20 months. The high repeat surgery rate is often due to surgeons missing stones in the initial treatment. Effective training can reduce the need for re-operation, yet learning opportunities in the operating room (OR) are limited, as patient care must take priority. Augmented reality (AR) can improve the effectiveness of training in the OR by providing real-time visual feedback, but the interface must be carefully designed not to interfere with clinical workflow. Building on prior design guidelines and AR training tools, we design and evaluate the effectiveness of enhancing training through three AR gaze markers. Our AR training system tracks the expert's eye gaze and projects the marker onto the trainee's head-mounted display to provide visual guidance. Eight trainees performed a simulated ureteroscopy task of identifying kidney stones in high-fidelity kidney phantoms while guided by an expert. We record the number of stones they found, time, and eye-gaze metrics. At the end of each trial, trainees provide subjective feedback on task load and performance through the NASA-TLX questionnaire. Results show that while some gaze markers increased perceived mental demand, they enhanced engagement and performance. Gaze metrics revealed that marker shape affects cognitive load, as measured by the fixation-to-saccades ratio. By translating prior design principles into an AR-based guidance system, this work supports intraoperative training and highlights AR's potential in surgical education.

Indexed as

Augmented realityEye gazeKidney surgeryVisual guidance

Identifiers

PMID42610084
PMCPMC13480462

What OpenQuestion holds

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Registered trials

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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.