ReviewNeuroimaging clinics of North America2020
Diverse Applications of Artificial Intelligence in Neuroradiology.
Review in Neuroimaging clinics of North America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 44 citations in OpenAlex.
- Recent advances in diagnostic technologies for postoperative central nervous system infections: a review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Review
- Review
- The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations-a narrative review.Discover oncology · 2025Review
- COMPRESSIVE DATA STORAGE FOR LONG-TERM EEG: VALIDATION BY VISUAL ANALYSIS.Clinical neurophysiology practice · 2025Article
- Use of artificial intelligence in the management of stroke: scoping review.Frontiers in radiology · 2025Review
- The new era of artificial intelligence in neuroradiology: current research and promising tools.Arquivos de neuro-psiquiatria · 2024Article
- Evaluation of CINA® LVO artificial intelligence software for detection of large vessel occlusion in brain CT angiography.European journal of radiology open · 2024Article
- Changes in MRI Workflow of Multiple Sclerosis after Introduction of an AI-Software: A Qualitative Study.Healthcare (Basel, Switzerland) · 2024Article
- Artificial Intelligence Analysis Using MRI and PET Imaging in Gliomas: A Narrative Review.Cancers · 2024Review
- Revolutionizing pediatric neuroimaging: the era of CT, MRI, and beyond.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2023Review
- Review
- Neuroimaging Patterns of Intracranial Infections: Meningitis, Cerebritis, and Their Complications.Neuroimaging clinics of North America · 2023Review
- Optimizing MRI-based brain tumor classification and detection using AI: A comparative analysis of neural networks, transfer learning, data augmentation, and the cross-transformer network.European journal of radiology open · 2023Article
- Stroke and molecular imaging: a focus on FDG-PET.American journal of nuclear medicine and molecular imaging · 2023Review
- Review
- Foundations of Lesion Detection Using Machine Learning in Clinical Neuroimaging.Acta neurochirurgica. Supplement · 2022Article
- Clinical applications of artificial intelligence and radiomics in neuro-oncology imaging.Insights into imaging · 2021Review
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 at 2 institutions in 1 country.
Funding
Abstract
Recent advances in artificial intelligence (AI) and deep learning (DL) hold promise to augment neuroimaging diagnosis for patients with brain tumors and stroke. Here, the authors review the diverse landscape of emerging neuroimaging applications of AI, including workflow optimization, lesion segmentation, and precision education. Given the many modalities used in diagnosing neurologic diseases, AI may be deployed to integrate across modalities (MR imaging, computed tomography, PET, electroencephalography, clinical and laboratory findings), facilitate crosstalk among specialists, and potentially improve diagnosis in patients with trauma, multiple sclerosis, epilepsy, and neurodegeneration. Together, there are myriad applications of AI for neuroradiology."
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.