ReviewAbdominal radiology (New York)2025
Artificial intelligence in abdominal and pelvic ultrasound imaging: current applications.
Review in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence for acute appendicitis diagnosis: A systematic review of current evidence, challenges, and future directions.Medicine · 2026Pooled it
- Engineering Functional Biomaterials for Targeted and Localized Cancer Drug Delivery: A Structure-Property-Performance Design Perspective.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Review
- Ultrasound medicine in the era of precision theranostics: Mechanisms, molecular strategies, and clinical translation.Iranian journal of basic medical sciences · 2026Review
- Contrast-enhanced ultrasound perfusion quantification of solid liver lesions: First intraoperative characterization of tumor microvascularization.Clinical hemorheology and microcirculation · 2025Article
- Cross-Sectional Imaging of Pelvic Inflammatory Disease: Diagnostic Pearls and Pitfalls on CT and MR.Diagnostics (Basel, Switzerland) · 2025Review
- The impact of updated imaging software on the performance of machine learning models for breast cancer diagnosis: a multi-center, retrospective study.Archives of gynecology and obstetrics · 2025Article
- Deep learning in renal ultrasound: applications, challenges, and future outlook.Frontiers in oncology · 2025Review
- Adaptation of convolutional neural networks for real-time abdominal ultrasound interpretation.Frontiers in artificial intelligence · 2025Article
- AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images.Frontiers in artificial intelligence · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn recent years, the integration of artificial intelligence (AI) techniques into medical imaging has shown great potential to transform the diagnostic process. This review aims to provide a comprehensive overview of current state-of-the-art applications for AI in abdominal and pelvic ultrasound imaging.
methodsWe searched the PubMed, FDA, and ClinicalTrials.gov databases for applications of AI in abdominal and pelvic ultrasound imaging.
resultsA total of 128 titles were identified from the database search and were eligible for screening. After screening, 57 manuscripts were included in the final review. The main anatomical applications included multi-organ detection (n = 16, 28%), gynecology (n = 15, 26%), hepatobiliary system (n = 13, 23%), and musculoskeletal (n = 8, 14%). The main methodological applications included deep learning (n = 37, 65%), machine learning (n = 13, 23%), natural language processing (n = 5, 9%), and robots (n = 2, 4%). The majority of the studies were single-center (n = 43, 75%) and retrospective (n = 56, 98%). We identified 17 FDA approved AI ultrasound devices, with only a few being specifically used for abdominal/pelvic imaging (infertility monitoring and follicle development).
conclusionThe application of AI in abdominal/pelvic ultrasound shows promising early results for disease diagnosis, monitoring, and report refinement. However, the risk of bias remains high because very few of these applications have been prospectively validated (in multi-center studies) or have received FDA clearance.
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