Artificial intelligence enhanced ultrasound (AI-US) in a severe obese parturient: a case report
Year: 2022
Type: article
Study design: Case Report
Abstract: 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.
Source: The Ultrasound Journal
Institution: University of Parma
Language: English
Subfield: Anesthesiology and Pain Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,290
OpenAlex ID: W4289550033