ArticleJournal of medical radiation sciences2019
Artificial Intelligence in medical imaging practice: looking to the future.
Article in Journal of medical radiation sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Automation dependence in AI-assisted colonoscopy: impact of system reliability and surgeon experience on navigation performance.Surgical endoscopy · 2026Article
- Artificial Intelligence in Dental Imaging Practice among Oral Radiologists from the City of Chennai: A Qualitative Analysis.The Indian journal of radiology & imaging · 2026Article
- Automatic detection of spinal pathologies based on MRI scans.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- AI Integration in Medical Imaging Education: A Nationwide Cross-Sectional Survey.Radiology research and practice · 2026Article
- Review
- Artificial intelligence assisted clinical fluorescence imaging achieves in vivo cellular resolution comparable to adaptive optics ophthalmoscopy.Communications medicine · 2025Article
- Exploring Curriculum Considerations to Prepare Future Radiographers for an AI-Assisted Health Care Environment: Protocol for Scoping Review.JMIR research protocols · 2025Article
- R-AI-diographers: investigating the perceived impact of artificial intelligence on radiographers' careers, roles, and professional identity in the UK.Frontiers in digital health · 2025Article
- Technology-enabled patient care in medical radiation sciences: the two sides of the coin.Journal of medical radiation sciences · 2024Article
- Assessing AI Awareness and Identifying Essential Competencies: Insights From Key Stakeholders in Integrating AI Into Medical Education.JMIR medical education · 2024Article
- Review
- Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review.BMC medical imaging · 2023Article
- Performance Evaluation of Radiation-Shielding Materials and Process Technology for Manufacturing Skin Protection Cream.Materials (Basel, Switzerland) · 2023Article
- Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study.Insights into imaging · 2023Article
- Artificial intelligence technology enhances the performance of shear wave elastography in thyroid nodule diagnosis.American journal of translational research · 2023Article
- Assessing the Level of Understanding (Knowledge) and Awareness of Diagnostic Imaging Students in Ghana on Artificial Intelligence and Its Applications in Medical Imaging.Radiology research and practice · 2023Article
- Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia.Insights into imaging · 2022Article
- Application of informatics in cancer research and clinical practice: Opportunities and challenges.Cancer innovation · 2022Review
- Radiographers' perspectives on the emerging integration of artificial intelligence into diagnostic imaging: The Ghana study.Journal of medical radiation sciences · 2021Article
- A predictive algorithm using clinical and laboratory parameters may assist in ruling out and in diagnosing MDS.Blood advances · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is heralded as the most disruptive technology to health services in the 21
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.