The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Artificial intelligence enhanced ultrasound (AI-US) in a severe obese parturient: a case report
Open accessAbstract
BACKGROUND: Neuraxial anesthesia in obese parturients can be challenging due to anatomical and physiological modifications secondary to pregnancy; this led to growing popularity of spine ultrasound in this population for easing landmark identification and procedure execution. Integration of Artificial Intelligence with ultrasound (AI-US) for image enhancement and analysis has increased clinicians' ability to localize vertebral structures in patients with challenging anatomical conformation. CASE PRESENTATION: , in which the AI-Enabled Image Recognition allowed a successful placing of an epidural catheter. CONCLUSIONS: Benefits gained from AI-US implementation are multiple: immediate recognition of anatomical structures leads to increased first-attempt success rate, making easier the process of spinal anesthesia execution compared to traditional palpation methods, reducing needle placement time for spinal anesthesia and predicting best needle direction and target structure depth in peridural anesthesia.
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AI models can help to increase diagnostic accuracy when US image quality is impeded by a thickened abdominal wall in obese patients.
“AI models can also help to increase diagnostic accuracy, for example when US image quality is impeded by a thickened abdominal wall in obese patients [180].”
From Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology (2023) · cites this paper as [180]
The Case presentation reports that excess subcutaneous tissue made lumbar spine structures difficult to identify with standard ultrasound, while AI-assisted ultrasound enabled landmark identification for epidural placement. This supports the general point that AI can help when obesity impedes ultrasound imaging, but the paper concerns the spine of one obese parturient—not a thickened abdominal wall—and does not assess diagnostic accuracy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredCompagnone et al. presented a clinical case report of a successful AI-image-guided placement of an epidural catheter in an extremely obese patient for delivery.
“Compagnone et al. presented a clinical case report of a successful AI-image-guided placement of an epidural catheter in an extremely obese patient for delivery [180].”
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Ultrasound control for presumed difficult epidural puncture
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Artificial intelligence in ultrasound
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Ultrasonography for lumbar neuraxial block
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Anesthetic management of obese and morbidly obese parturients
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Bays, H. E., Fitch, A., Cuda, S. E., Gonsahn-Bollie, S., Rickey, E., Hablutzel, J., Coy, R., & Censani, M. (2023) · Obesity Pillars · doi:10.1016/j.obpill.2023.100065 · Cited by 111
Bowness, J. S., Metcalfe, D., El‐Boghdadly, K., Thurley, N., Morecroft, M., Hartley, T., Krawczyk, J., Noble, J. A., & Higham, H. (2024) · British Journal of Anaesthesia · doi:10.1016/j.bja.2024.01.036 · Cited by 54
Jost, E., Kosian, P., Jimenez Cruz, J., Albarqouni, S., Gembruch, U., Strizek, B., & Recker, F. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12216833 · Cited by 44
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Cao, Y., Wang, Y. J., Liu, H., & Wu, L. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1571725 · Cited by 24
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Artificial intelligence in obstetric anaesthesiology – the future of patient care?
Kong, A. Y. H., Liu, N., Tan, H. S., Sia, A. T. H., & Sng, B. L. (2024) · International Journal of Obstetric Anesthesia · doi:10.1016/j.ijoa.2024.104288 · Cited by 6
Team Roles of Artificial Intelligence in Anesthesiology – A Scoping Review
Huber, S. L., Weppert, L., Baumeister, L., Happel, O., & Grundgeiger, T. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3720186 · Cited by 3
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Frassanito, L., Filetici, N., Raimondo, P., Malvası, A., Gaudiano, A., Peragine, A., Lombardi, F., Vassalli, F., Pasta, G., & Bignami, E. G. (2026) · Journal of Anesthesia Analgesia and Critical Care · doi:10.1186/s44158-025-00326-y · Cited by 2
Self-citationAdvancements in AI-Powered Personalized Pregnancy Care: A Comprehensive Review
Takale, D. G., Samant, V., Samant, S., Ubhad, S., Patil, S., & Datir, S. (2024) · Journal of Communication Engineering and VLSI Design · doi:10.48001/jocevd.2024.211-7 · Cited by 2
Artificial Intelligence Driven Innovation in Anesthesia for Personalized Perioperative Care
Sonam Shashikala, B., V, Ampeti, S., Srivastava, M., Sali, S. R., Kirankumar, P. N., & Sheikh, R. B. (2025) · medtigo Journal of Medicine · doi:10.63096/medtigo3067125 · Cited by 1
Artificial intelligence and obstetric anesthesia: a scoping review
Givens, M., Caceres, E. R., Jotwani, R., Rubin, J. E., Goldstein, P. A., & White, R. S. (2026) · Frontiers in Anesthesiology · doi:10.3389/fanes.2026.1896595
Metadata
- Authors
- Compagnone, C., Borrini, G., Calabrese, A., Taddei, M., Bellini, V., & Bignami, E.
- Affiliations
- University of Parma (IT)
- Corresponding author
- Calabrese, Alberto
- Venue
- The Ultrasound Journal
- Publisher
- Mattioli1885
- Published
- 2022-08-03
- Volume
- 14
- Issue
- 1
- Pages
- 34-34
- ISSN
- 2036-3176 (ISSN-L)
- 2524-8987
- PMC
- PMC9349326
- OpenAlex
- W4289550033
- Cited by
- 12
- References
- 13
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 3 · 2023: 4
- FWCI
- 2.39
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- The Ultrasound Journal (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Anesthesia and Pain Management
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Ultrasound in Clinical Applications
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- epidural anesthesia, epidural catheter placement, neuraxial anesthesia, image recognition
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