Artificial intelligence for image interpretation in ultrasound‐guided regional anaesthesia

Anaesthesia and peri‐operative medicine over the next 25 years

“…Similar technology has been employed to control blood pressure during neuraxial anaesthesia for caesarean section [9] and plasma blood glucose during nutritional support [10], and could be adapted for use in other peri‐operative settings. In addition, with artificial intelligence well described in both histopathology and radiology to reliably detect subtle structural abnormalities, this aspect may assist in identifying normal structures for ultrasound‐guided regional anaesthesia and echocardiography [7, 11, 12]. A major related area is the advent of alternate reality learning systems (virtual and latterly augmented reality), which can be utilised to train or telementor trainees learning new skills [11].…”

AI real-time color overlay of sonoanatomy

“…We congratulate Gungor et al [1] on their work. We agree that acquisition and interpretation of optimal images for ultrasound-guided regional anesthesia (UGRA) is challenging and innovative approaches are required [2].…”

Identifying anatomical structures on ultrasound: assistive artificial intelligence in ultrasound‐guided regional anesthesia

“…We have previously discussed the potential for variable recognition of anatomical structures on ultrasound, even by experienced regional anesthesiologists (Bowness, Turnbull, Taylor, Halcrow, Chisholm, et al, 2019; Bowness, Turnbull, Taylor, Halcrow, Raju, et al, 2019). Based on this information, we presented the case for the use of assistive artificial intelligence (AI) technology to facilitate the recognition of anatomical structures in UGRA (Bowness et al, 2020). This concept has also been proposed by other groups, both for UGRA (Alkhatib et al, 2019; Huang et al, 2019) and central neuraxial blockade (spinal and epidural) (Oh et al, 2019; Smistad et al, 2018; Tran & Rohling, 2010).…”