SynthesisDiagnostic and interventional radiology (Ankara, Turkey)2026
Systematic review of artificial intelligence competitions in radiology: a focus on design, evaluation, and trends.
Synthesis in Diagnostic and interventional radiology (Ankara, Turkey), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Severe trauma care: advances and future directions in diagnostic and therapeutic techniques and information technology support.Medical review (2021) · 2026Article
- Performance of predictive AI-based clinical decision support systems across clinical domains: A systematic review and meta-analysis.PLOS digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article explores the characteristics and scope of artificial intelligence (AI) competitions in medical imaging. A retrospective evaluation of AI competitions related to medical imaging was conducted between 2017 and 2023. Relevant terms associated with AI and competitions were searched using the PubMed database and the grand-challenge website, and applicable studies were included in the review. The 26 AI competitions included in the review covered a wide range of topics, from brain imaging to extremities and from stroke detection to bone age estimation, with many organized through international collaborations between engineering and medical professionals. Various national screening and teleradiology databases, as well as university databases, were used. Teams from different regions worldwide participated in these competitions. These initiatives contribute to the global adoption of AI technologies in healthcare. Moreover, they help raise awareness among high school students, medical students, radiology trainees, and young radiologists of the intersection between AI and medical imaging. AI competitions play a crucial role in fostering collaboration between the medical field and AI, driving innovation, and increasing societal awareness of AI applications in healthcare.
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.