ArticleJournal of the American College of Radiology : JACR2016
2015 RAD-AID Conference on International Radiology for Developing Countries: The Evolving Global Radiology Landscape.
Article in Journal of the American College of Radiology : JACR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04991987 (Multicenter Validation Study of an Artificial Intelligence Tool for Automatic Classification of Chest X-rays), which is not on this map. Cited by 6 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.
Multicenter Validation Study of an Artificial Intelligence Tool for Automatic Classification of Chest X-rays
Who cites it
6 citing papers in PubMed.
- Radiologist workforce challenges and the burden of image interpretation in Ghana: Perspectives of frontline doctors and implications for healthcare delivery.PLOS global public health · 2026Article
- AMSFMap Methodology to improve prediction accuracy of CNN model for Covid19 using X-ray images.Procedia computer science · 2023Article
- Using Artificial Intelligence to Establish Chest X-Ray Image Recognition Model to Assist Crucial Diagnosis in Elder Patients With Dyspnea.Frontiers in medicine · 2022Article
- Deep learning: definition and perspectives for thoracic imaging.European radiology · 2020Review
- A review on lung boundary detection in chest X-rays.International journal of computer assisted radiology and surgery · 2019Review
- Who PACS a Punch? The Role of the Picture Archiving and Communication System/Radiology Information System (PACS/RIS) in Quantifying Experiential Learning in Radiology Residency.Journal of digital imaging · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Radiology in low- and middle-income (developing) countries continues to make progress. Research and international outreach projects presented at the 2015 annual RAD-AID conference emphasize important global themes, including (1) recent slowing of emerging market growth that threatens to constrain the advance of radiology, (2) increasing global noncommunicable diseases (such as cancer and cardiovascular disease) needing radiology for detection and management, (3) strategic prioritization for pediatric radiology in global public health initiatives, (4) continuous expansion of global health curricula at radiology residencies and the RAD-AID Chapter Network's participating institutions, and (5) technologic innovation for recently accelerated implementation of PACS in low-resource countries.
Indexed as
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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.