Reviewnpj health systems2025
AI solutions to the radiology workforce shortage.
Review in npj health systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Letter to the Editor: AI, regulation, and the radiologist workforce: reorganization without replacement.European radiology · 2026Article
- RadCoT: a Radiological Chain-of-Thought framework for enhanced error detection in radiology reports.European radiology experimental · 2026Article
- Artificial Intelligence for Detection and Characterisation of Bone Metastases on MRI: A Scoping Review.Cancers · 2026Review
- AI Software Among Commercially Insured Populations: Cross-Sectional Study of Patient and Plan Characteristics.JMIR formative research · 2026Article
- Artificial Intelligence Across the Radiology Workflow: A Nine-Stage Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Report-Level Impact of DL Assistance on Teleradiology Quality Support for Brain Metastases: Real-World Clinical Practice at a Single Tertiary Center.Diagnostics (Basel, Switzerland) · 2026Article
- The Effect of AI on the Radiologist Workforce: A Task-Based Analysis.medRxiv : the preprint server for health sciences · 2025Article
- Article
- Artificial Intelligence for Individualized Radiological Dialogue: The Impact of RadioBot on Precision-Driven Medical Practices.Journal of personalized medicine · 2025Article
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
No grant is acknowledged in the PubMed record.
Abstract
The growing demand for imaging services in the U.S., driven by an aging population and the rise in chronic diseases, has contributed to a significant radiology workforce shortage. Simultaneously, supply-side constraints, including limited radiology residency positions and substantial retirements, have exacerbated this gap. These imbalances increase patient wait times, risk diagnostic delays, and contribute to radiologist burnout. Artificial intelligence (AI) offers potential solutions by addressing three primary areas: demand management, workflow efficiency, and capacity building. First, to manage demand, AI tools can leverage predictive analytics and decision-support systems to reduce unnecessary imaging and prioritize high-value imaging examinations. Next, AI can streamline tasks and boost efficiency with applications such as automated scheduling, assisted report generation, and image quality checks. Finally, by enhancing education, facilitating remote collaboration, improving patient communication, and offering advanced image interpretation assistance, AI can expand radiologists' capabilities, improve retention, and enhance long-term workforce sustainability. By integrating these approaches, radiology can address workforce shortages while upholding the highest standards of patient care.
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.