Research graph
References from A Systems Approach toward AI-Enabled Radiology Dictation for Workflow Efficiency in India. Local targets link to admitted publications; unresolved targets remain external evidence.
Documentation dynamics: note composition, burden, and physician efficiency
10.1111/1475-6773.14097 · 2023 · External reference
Improving radiology report conciseness and structure via local large language models
10.1007/s10278-025-01510-w · 2026 · External reference
Measurement of visual strain in radiologists
10.1016/j.acra.2009.02.008 · 2009 · External reference
Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence
10.1186/s13244-021-01031-4 · 2021 · External reference
Unresolved reference
2019 · External reference
Burnout of radiologists: frequency, risk factors, and remedies: a report of the ACR commission on human resources
10.1016/j.jacr.2015.11.003 · 2016 · External reference
Voice recognition dictation: radiologist as transcriptionist
10.1007/s10278-007-9039-2 · 2008 · External reference
Frequency and spectrum of errors in final radiology reports generated with automatic speech recognition technology
10.1016/j.jacr.2008.07.005 · 2008 · External reference
Provider adoption of speech recognition and its impact on satisfaction, documentation quality, efficiency, and cost in an inpatient EHR
2018 · External reference
Structured reporting: if, why, when, how-and at what expense? Results of a focus group meeting of radiology professionals from eight countries
10.1007/s13244-012-0148-1 · 2012 · External reference
Structured reporting in radiology
10.1016/j.acra.2017.08.005 · 2018 · External reference
Efficient structured reporting in radiology using an intelligent dialogue system based on speech recognition and natural language processing
10.1186/s13244-023-01392-y · 2023 · External reference
A novel reporting workflow for automated integration of artificial intelligence results into structured radiology reports
10.1186/s13244-024-01660-5 · 2024 · External reference
Structured reporting in radiology: a systematic review to explore its potential
10.1007/s00330-021-08327-5 · 2022 · External reference
Voice recognition for radiology reporting: is it good enough?
10.1016/j.crad.2005.07.002 · 2005 · External reference
Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care
10.1093/jamia/ocad258 · 2024 · External reference
Generative large language models trained for detecting errors in radiology reports
10.1148/radiol.242575 · 2025 · External reference
Large language models for structured reporting in radiology: past, present, and future
10.1007/s00330-024-11107-6 · 2025 · External reference
Open-source large language models can generate labels from radiology reports for training convolutional neural networks
10.1016/j.acra.2024.12.028 · 2025 · External reference
The Ayushman Bharat Digital Mission (ABDM): making of India's digital health story
10.1007/s40012-023-00375-0 · 2023 · External reference
Radiology reporting: returning to our image-centric roots
10.2214/ajr.05.1954 · 2006 · External reference
Structured reporting: patient care enhancement or productivity nightmare?
10.1148/radiol.2493080988 · 2008 · External reference
Improving report turnaround time: an integrated method using data from a radiology information system
10.2214/ajr.163.6.7992756 · 1994 · External reference
Impact of turnaround time in radiology: the good, the bad, and the ugly
10.1067/j.cpradiol.2025.04.018 · 2026 · External reference
ESR paper on structured reporting in radiology-update 2023
10.1186/s13244-023-01560-0 · 2023 · External reference
Re: The radiology report – are we getting the message across?
10.1016/j.crad.2011.11.018 · 2012 · External reference
Image-rich radiology reports: a value-based model to improve clinical workflow
10.1016/j.jacr.2016.07.018 · 2017 · External reference
A framework for improving radiology reporting
10.1016/j.jacr.2004.06.015 · 2005 · External reference
Cohort study of structured reporting compared with conventional dictation
10.1148/radiol.2531090138 · 2009 · External reference
Automation bias in mammography: the impact of artificial intelligence BI-RADS suggestions on reader performance
10.1148/radiol.222176 · 2023 · External reference
Unresolved reference
2025 · External reference
Large language models in health systems: governance, challenges, and solutions
10.1016/j.acra.2024.09.047 · 2025 · External reference
The road map for ACR practice accreditation for radiology artificial intelligence
10.1016/j.jacr.2025.02.008 · 2025 · External reference
Cross-cohort federated learning for pediatric abdominal adipose tissue segmentation and quantification using free-breathing 3D MRI
10.1093/radadv/umag002 · 2026 · External reference
Towards efficient and secure vertical federated learning with additive ensemble
10.1007/s13042-025-02897-2 · 2026 · External reference
Beyond proprietary models: the potential of open-source large language models in radiology
10.1148/radiol.242454 · 2025 · External reference
Large language models in radiology reporting – a systematic review of performance, limitations, and clinical implications
10.1016/j.ibmed.2025.100287 · 2025 · External reference
AI in action: a road map from the radiology AI council for effective model evaluation and deployment
10.1016/j.jacr.2025.05.016 · 2025 · External reference
Positive act of reporting negative results in large language model research: a call for transparency
10.1093/jamia/ocaf221 · 2026 · External reference
Postdeployment monitoring and surveillance methods, guidelines, and possibilities for AI in radiology
10.1148/rg.250173 · 2026 · External reference
