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References from Artificial intelligence in personalized computed tomography dose optimization: a systematic review of techniques and clinical outcomes. Local targets link to admitted publications; unresolved targets remain external evidence.
Review of functional/anatomical imaging in oncology.
10.1097/mnm.0b013e32834ec8a5 · 2012 · External reference
Revolutionizing radiology with artificial intelligence.
10.7759/cureus.72646 · 2024 · External reference
Radiation dose optimization: the role of artificial intelligence.
2022 · External reference
CT radiation dose optimization and estimation: an update for radiologists.
10.3348/kjr.2012.13.1.1 · 2012 · External reference
Standardization and optimization of CT protocols to achieve low dose.
10.1016/j.jacr.2013.10.016 · 2014 · External reference
10.1016/j.adro.2017.04.003 · 2017 · Admitted local publication
Radiation dose reduction in computed tomography: techniques and future perspective.
10.2217/iim.09.5 · 2009 · External reference
CT radiation dose: current controversies and dose reduction strategies.
10.2214/ajr.12.9720 · 2013 · External reference
Strategies for reducing radiation dose in CT.
10.1016/j.rcl.2008.10.006 · 2009 · External reference
Canadian association of radiologists white paper on artificial intelligence in radiology.
10.1016/j.carj.2018.02.002 · 2018 · External reference
Why is the electronic health record so challenging for research and clinical care?
10.1055/s-0041-1731784 · 2021 · External reference
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.
10.1136/bmj.n71 · 2021 · External reference
Low-dose CT with a residual encoder-decoder convolutional neural network.
10.1109/tmi.2017.2715284 · 2017 · External reference
Artificial intelligence in CT and MR imaging for oncological applications.
10.3390/cancers15092573 · 2023 · External reference
The use of artificial intelligence in computed tomography image reconstruction - a literature review.
10.1016/j.jmir.2020.09.001 · 2020 · External reference
The use of deep learning towards dose optimization in low-dose computed tomography: a scoping review.
10.1016/j.radi.2021.07.010 · 2022 · External reference
CT radiation dose and iterative reconstruction techniques.
10.2214/ajr.14.13241 · 2015 · External reference
Artificial intelligence for reducing the radiation burden of medical imaging for the diagnosis of coronavirus disease.
10.1140/epjp/s13360-023-03745-4 · 2023 · External reference
Unresolved reference
2023 · External reference
Radiation dose optimization in radiology: a comprehensive review of safeguarding patients and preserving image fidelity.
10.7759/cureus.60846 · 2024 · External reference
Artificial intelligence for radiation dose optimization in pediatric radiology: a systematic review.
10.3390/children9071044 · 2022 · External reference
Artificial intelligence for clinical prediction: Exploring key domains and essential functions.
10.1016/j.cmpbup.2024.100148 · 2024 · External reference
Artificial intelligence in diagnostic imaging: impact on the radiography profession.
10.1259/bjr.20190840 · 2020 · External reference
Improving image quality and reducing radiation dose for pediatric ct by using deep learning reconstruction.
10.1148/radiol.2020202317 · 2021 · External reference
Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions.
10.1007/s00330-021-08380-0 · 2022 · External reference
Pneumonia detection in chest x-ray dose-equivalent ct: impact of dose reduction on detectability by artificial intelligence.
10.1016/j.acra.2020.05.031 · 2021 · External reference
Impact of a reduced iodine load with deep learning reconstruction on abdominal MDCT.
10.1097/md.0000000000034579 · 2023 · External reference
Image quality and diagnostic performance of low-dose liver ct with deep learning reconstruction versus standard-dose ct.
10.1148/ryai.230192 · 2024 · External reference
Bias in meta-analysis detected by a simple, graphical test.
10.1136/bmj.315.7109.629 · 1997 · External reference
AI transformers for radiation dose reduction in serial whole-body pet scans.
10.1148/ryai.220246 · 2023 · External reference
Pediatric exposures to ionizing radiation: carcinogenic considerations.
10.3390/ijerph13111057 · 2016 · External reference
Artificial intelligence applications in intensity modulated radiation treatment planning: an overview.
10.21037/qims-21-208 · 2021 · External reference
Clinical applications of artificial intelligence in radiology.
10.1259/bjr.20221031 · 2023 · External reference
Artificial intelligence in paediatric radiology: future opportunities.
10.1259/bjr.20200975 · 2021 · External reference
Deep learning-based reconstruction can improve the image quality of low radiation dose head CT.
10.1007/s00330-023-09559-3 · 2023 · External reference
Review of risk factors of secondary cancers among cancer survivors.
10.1259/bjr.20180390 · 2019 · External reference
Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects.
10.4274/dir.2024.242854 · 2025 · External reference
Complex relationship between artificial intelligence and CT radiation dose.
10.1016/j.acra.2021.10.024 · 2022 · External reference
The role of artificial intelligence in radiotherapy clinical practice.
10.1259/bjro.20230030 · 2023 · External reference
Precision Medicine, ai, and the future of.
10.1111/cts.12884 · 2021 · External reference
Theoretical exploration of artificial intelligence’s impact on feto-maternal health from conception to delivery.
10.2147/ijwh.s454127 · 2024 · External reference
The Current state of artificial intelligence in medical imaging and nuclear medicine.
10.1259/bjro.20190037 · 2019 · External reference
Medical image analysis using deep learning algorithms.
10.3389/fpubh.2023.1273253 · 2023 · External reference
Redefining radiology: a review of artificial intelligence integration in medical imaging.
10.3390/diagnostics13172760 · 2023 · External reference
How does artificial intelligence in radiology improve efficiency and health outcomes?
10.1007/s00247-021-05114-8 · 2022 · External reference
Dose reduction and image enhancement in micro-CT using deep learning.
10.1002/mp.16385 · 2023 · External reference
Dose optimization using a deep learning tool in various ct protocols for urolithiasis: a physical human phantom study.
10.3390/medicina59091677 · 2023 · External reference
