Evidence map›Paper›PMID 40196103›Full record

ReviewCureus2025

UVCeed: Leveraging Augmented Reality, Artificial Intelligence, and Gamification for Enhanced Ultraviolet C Disinfection.

Mitchell K Ng, Michael A Mont, Peter M Bonutti

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Healthcare-associated infections.GMS hygiene and infection control · 2025
    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.

Mitchell K NgOrthopaedic Surgery, Maimonides Medical Center, Brooklyn, USA.
Michael A MontOrthopaedic Surgery, LifeBridge Health, Baltimore, USA.
Peter M BonuttiOrthopaedic Surgery, Sarah Bush Lincoln Bonutti Clinic, Effingham, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing need for safe and effective surface disinfection solutions has driven innovation beyond traditional chemical disinfectants, which pose challenges including improper application, harmful residues, and environmental concerns. Ultraviolet C (UVC) light has arisen as a chemical-free, reusable alternative, being capable of neutralizing pathogens without leaving residue. However, UVC adoption is hindered by challenges such as ensuring thorough coverage and precise exposure times. This paper introduces the UVCeed Mobile UVC Disinfection Device (Bonutti Technologies, Effingham, Illinois, United States), which leverages augmented reality (AR), artificial intelligence (AI), and gamification to enhance the safety, accuracy, and user experience of UVC disinfection. By providing real-time visual guidance and intuitive feedback, UVCeed addresses the limitations of traditional methods, enabling comprehensive and efficient disinfection. The device's innovative integration of technology positions it as a transformative tool in consumer-grade surface disinfection, combining effectiveness, ease of use, and environmental sustainability with applications in surgery and beyond.

Indexed as

artificial intelligenceaugmented realitychemical disinfectantsurgical disinfectionultraviolet c

Identifiers

PMID40196103
PMCPMC11975327

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.