ArticleUltrasonography (Seoul, Korea)2021
Artificial intelligence for ultrasonography: unique opportunities and challenges.
Article in Ultrasonography (Seoul, Korea), 2021. 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.
- Role of artificial intelligence and point of care ultrasound in management of critically ill patients.World journal of critical care medicine · 2026Review
- Carpal Tunnel Syndrome Diagnosis: A Narrative Review of Complementary Roles of Neuromuscular Ultrasound and Electrodiagnostic Studies.Medical science monitor : international medical journal of experimental and clinical research · 2026Review
- Comparative Study of AI Modes in Ultrasound Diagnosis of Breast Lesions.Diagnostics (Basel, Switzerland) · 2025Article
- The Transformative Potential of AI in Ultrasound for Facial Aesthetics.Journal of cosmetic dermatology · 2025Review
- Non-invasive diagnosis of ventriculoperitoneal shunt malfunction: Advancing hydrocephalus care with SMI ultrasound and AI.Neurosurgical review · 2024Article
- Automated segmentation of the median nerve in patients with carpal tunnel syndrome.Scientific reports · 2024Article
- Intraoral Ultrasonography for the Exploration of Periodontal Tissues: A Technological Leap for Oral Diagnosis.Diagnostics (Basel, Switzerland) · 2024Article
- Deep learning prediction of renal anomalies for prenatal ultrasound diagnosis.Scientific reports · 2024Article
- Artificial intelligence in diagnostic ultrasonography.Diagnostic and interventional radiology (Ankara, Turkey) · 2023Review
- Machine Learning-Aided Chronic Kidney Disease Diagnosis Based on Ultrasound Imaging Integrated with Computer-Extracted Measurable Features.Journal of digital imaging · 2022Article
- Automated prediction of early spontaneous miscarriage based on the analyzing ultrasonographic gestational sac imaging by the convolutional neural network: a case-control and cohort study.BMC pregnancy and childbirth · 2022Article
- Amniotic Fluid Classification and Artificial Intelligence: Challenges and Opportunities.Sensors (Basel, Switzerland) · 2022Review
- Using deep-learning in fetal ultrasound analysis for diagnosis of cystic hygroma in the first trimester.PloS one · 2022Article
- ULTRASONOGRAPHY: changes in editorial policy necessary to lead global trends.Ultrasonography (Seoul, Korea) · 2022Article
- Comparative Analysis of Computer-Aided Diagnosis and Computer-Assisted Subjective Assessment in Thyroid Ultrasound.Life (Basel, Switzerland) · 2021Article
- ULTRASONOGRAPHY: changes in submission and publication patterns 1 year after being listed in SCIE.Ultrasonography (Seoul, Korea) · 2021Article
- Renal fibrosis assessment in chronic kidney disease: Exploring varied kidney regions with ultrasound-based radiomics analysis.Science progressArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.