ArticleJournal of pathology informatics2014
Pocket pathologist: A mobile application for rapid diagnostic surgical pathology consultation.
Article in Journal of pathology informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 30 citations in OpenAlex.
- Registered multi-device/staining histology image dataset for domain-agnostic machine learning models.Scientific data · 2024Article
- A narrative review of digital pathology and artificial intelligence: focusing on lung cancer.Translational lung cancer research · 2020Review
- Efficiency of Mobile Video Sharing Application (WhatsApp®) in Live Field Image Transmission for Telepathology.Journal of medical systems · 2020Article
- Nuclear morphometrics and chromatin condensation patterns as disease biomarkers using a mobile microscope.PloS one · 2019Article
- Evaluation of Android Smartphones for Telepathology.Journal of pathology informatics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTelepathology allows the digital transmission of images for rapid access to pathology experts. Recent technologic advances in smartphones have allowed them to be used to acquire and transmit digital images of the glass slide, representing cost savings and efficiency gains over traditional forms of telepathology. We report our experience with developing an iPhone application (App - Pocket Pathologist) to facilitate rapid diagnostic pathology teleconsultation utilizing a smartphone. MATERIALS AND
methodsA secure, web-based portal (http://pathconsult.upmc.com/) was created to facilitate remote transmission of digital images for teleconsultation. The App augments functionality of the web-based portal and allows the user to quickly and easily upload digital images for teleconsultation. Image quality of smartphone cameras was evaluated by capturing images using different adapters that directly attach phones to a microscope ocular lens.
resultsThe App was launched in August 2013. The App facilitated easy submission of cases for teleconsultation by limiting the number of data entry fields for users and enabling uploading of images from their smartphone's gallery wirelessly. Smartphone cameras properly attached to a microscope create static digital images of similar quality to a commercial digital microscope camera.
conclusionSmartphones have great potential to support telepathology because they are portable, provide ubiquitous internet connectivity, contain excellent digital cameras, and can be easily attached to a microscope. The Pocket Pathologist App represents a significant reduction in the cost of creating digital images and submitting them for teleconsultation. The iPhone App provides an easy solution for global users to submit digital pathology images to pathology experts for consultation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.