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Record W1852994921 · doi:10.4103/0974-2700.86654

Telementorable "just-in-time" lung ultrasound on an iPhone

2011· article· en· W1852994921 on OpenAlex
AndrewW Kirkpatrick, Innes Crawford, PaulB McBeth, Mark Mitchelson, Corina Tiruta, James Ferguson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Emergencies Trauma and Shock · 2011
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsFoothills Medical Centre
Fundersnot available
KeywordsComputer scienceLaptopMedical physicsMedicineMultimedia

Abstract

fetched live from OpenAlex

Sir, Pleural and lung ultrasound (PLUS) is increasingly used in the bedside management of pulmonary pathology such as with the EFAST and BLUE protocols.[12] As ultrasound is operator-dependent, however, there are challenges to ensure that clinicians have adequate training. With a current explosion in the availability of ultrasound machines, we believe there is a need to optimize ultrasound availability to patients, yet ensure quality and avoidance of misinformation from erroneous exams. The National Aeronautics and Space Administration has addressed this challenge by examining the concept of remote telementored telesonography (RTMTS), wherein just-in-time users onboard the International Space Station are guided to capture meaningful images by remote terrestrial experts using elaborate informatics.[3] The World Health Organization also recognizes that communication technologies have the potential to address challenges in both developed and developing countries in providing accessible, cost-effective, and high-quality healthcare services, especially for rural and underserved communities in developing countries.[4] Thus, we endeavored to provide RTMTS using markedly simpler informatics.[5] We investigated the provision of RTMS by allowing remote experts in Aberdeen to view real-time PLUS images displayed on a smartphone (iPhone-4, Apple, Cupertino, CA). A portable ultrasound (Sonosite 180, Sonosite, Bothell, WA) in Calgary was interfaced to a laptop computer (Aspire 5741, Acer, Kuala Lumpur, Malaysia) via an analogue-to-digital converter (VC-211V, ActionStar LinXcel, Taiwan) [Figure on-line supplement]. Xsplit Broadcaster (SplitMediaLabs ltd, Hong Kong) allowed video-streaming of both an inexpensive head-mounted webcam (LifeCam VX-2000, Microsoft, Washington) and ultrasound over Skype (Skype, Luxembourg), easily viewed on any smartphone. The remote experts were thereafter able to easily view both the Calgary examiners hands and probe and resultant ultrasound images and to audibly bidirectionally communicate during the conducting of PLUS, with the iphone images deemed of diagnostic quality demonstrating clear evidence of real-time lung sliding [Figure 1]. While best appreciated real-time, the color-power Doppler function also documented this movement as the “Power-slide,”[6] confirming and documenting respiration and pneumothorax absence.Figure 1: iPhone image as viewed in Aberdeen demonstrating the “Power slide” confirming pleural sliding with imbedded image of remote examiner holding US probe in CalgaryWhile ultrasound images have been previously viewed over smartphones, we believe this is the first utilization of this ever more-prevalent technology to allow cost-minimal telementoring in lung telesonography. Therefore, despite the myriad of challenges for global health improvements, we believe that as the globe is shrunk by informatics, remote experts in developed nations could increasingly assist with education and clinical care delivery using affordable technologies that are likely to be already in our coat pockets.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.337
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it