Evidence map›Paper›PMID 41071424›Full record

ArticleJournal of medical systems2025

Evaluation of an Autonomous Robotic System for Reducing Radiation Risk in a Real-World Cardiac Imaging Laboratory.

Johnathan Loh, Yong Jin Tan, Kimberly Joseph, Roshan Sabeeha, Robby M Alpas, Lesmer S Beltran, Bryston C Torres, Fook Sang Wong, Abigail Pc Wong, Jerome A Poblete and 9 more

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Article in Journal of medical systems, 2025. 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

19 authors.

Johnathan LohNational Heart Centre Singapore, Singapore, Singapore.
Yong Jin TanNational Heart Centre Singapore, Singapore, Singapore.
Kimberly JosephNational Heart Centre Singapore, Singapore, Singapore.
Roshan SabeehaNational Heart Centre Singapore, Singapore, Singapore.
Robby M AlpasNational Heart Centre Singapore, Singapore, Singapore.
Lesmer S BeltranNational Heart Centre Singapore, Singapore, Singapore.
Bryston C TorresNational Heart Centre Singapore, Singapore, Singapore.
Fook Sang WongNational Heart Centre Singapore, Singapore, Singapore.
Abigail Pc WongNational Heart Centre Singapore, Singapore, Singapore.
Jerome A PobleteNational Heart Centre Singapore, Singapore, Singapore.
Larry R NatividadNational Heart Centre Singapore, Singapore, Singapore.
Cai ChaoNational Heart Centre Singapore, Singapore, Singapore.
Chee Yuen LuNational Heart Centre Singapore, Singapore, Singapore.
Kok Wei AikNational Heart Centre Singapore, Singapore, Singapore.
Hwee Thiang TanNational Heart Centre Singapore, Singapore, Singapore.
Xue Fen TengNational Heart Centre Singapore, Singapore, Singapore.
Jimin LiuNational University of Singapore, Singapore, Singapore.
Felix Yj KengNational Heart Centre Singapore, Singapore, Singapore.
Angela S KohNational Heart Centre Singapore, Singapore, Singapore. angela.koh.s.m@singhealth.com.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNuclear imaging is the cornerstone of clinical practice across many disciplines. Few innovations in imaging have addressed occupational health of radiographers exposed to radiation in their daily work. In this proof-of-concept study, we hypothesized that the use of autonomous robots in a high-volume Myocardial Perfusion Imaging (MPI) clinic to help reduce radiation risk for radiographers.

methodsAfter initial assessment of the radiographer's workflow, an autonomous robot was set up to navigate and deliver radiotracer doses between the radio pharmacy and the injection room. 8 radiographers were briefed on robot usage and allowed to use the robot for their daily operations. Radiation exposure was measured as part of the regular bi-monthly Thermoluminescent Dosimeter (TLD) dose tracking. Radiation exposure before and after robot implementation were compared to assess whether the implementation of the autonomous robot significantly reduced radiation exposure for the radiographers.

resultsWe observed a significant reduction in mean bi-monthly radiation exposure following the implementation of the autonomous robot. The mean radiation dose decreased from 0.67 mSv (95% CI: 0.60-0.74) pre-implementation to 0.49 mSv 95% (CI: 0.44-0.54) post-implementation, corresponding to a relative reduction of approximately 27%. A Bayesian independent t-test revealed strong evidence for this reduction, with Bayes Factors (BF10) of 17.04 for skin dose and 17.76 for whole-body dose, supporting the hypothesis that the autonomous robot effectively reduced radiation exposure among radiographers.

conclusionIn this study, we provided a proof-of-concept on the use of autonomous robots in a MPI clinic as an additional tool to help radiographers manage radiation risk in their work. The innovations in technologies could expand the strategies available for managing occupational radiation risks in alignment with as low as reasonably achievable (ALARA) principles. Future work on scalability across diverse clinical and operational contexts would be next steps.

Indexed as

Myocardial Perfusion ImagingOccupational ExposureRadiation ExposureRoboticsHumansProof of Concept StudyRadiation DosageThermoluminescent DosimetryAutonomous robotics in healthcareDiagnostic nuclear imagingRadiation risk management

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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.