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Objective: Controversy exists around the world as experts disagree on what artificial intelligence will imply for humanity in the future. Medical experts are starting to share perspectives on artificial intelligence with ethical and legal concerns appearing to prevail. The purpose of this study was to determine how anesthesiology and reanimation specialists in Turkey perceive the use of artificial intelligence in ultrasound-guided regional anesthetic applications in terms of medical ethics and education, as well as their perspectives on potential ethical issues. Materials and Methods: This descriptive and cross-sectional survey was conducted across Turkey between July 1 and August 31. Data were collected through an online questionnaire distributed by national associations and social media platforms. The questionnaire included questions about the descriptive features of the participants and the possible ethical problems that may be encountered in the use of artificial intelligence in regional anesthesia and 20 statements that were requested to be evaluated. Results: The average age of the 285 anesthesiologists who took part in the study was 42.00 ± 7.51, 144 of them were male, the average years spent in the field was 10.95 ± 7.15 years, 59.3% were involved in resident training, and 74.7% habitually used ultrasound guidance regional anesthetic applications. Of the participants, 80% thought artificial intelligence would benefit patients, 86.7% thought it would benefit resident training, 81.4% thought it would benefit post-graduate medical education, and 80.7% thought it would decrease complications in practice. There will be no ethical issues if sonographic data are captured anonymously, according to 78.25%, while 67% are concerned about who will be held accountable for inaccuracies. Conclusion: The majority of anesthetists believe that using artificial intelligence in regional anesthetic applications will decrease complications. Although ethical concerns about privacy and data governance are low, participants do have ethical worries about “accountability for errors.”

Background: Ultrasound-guided genicular nerve radiofrequency (RF) procedures are of interest in the management of chronic knee pain. A wide variety of demographic, clinical, and procedural characteristics can affect treatment success. This study aimed to determine predictive factors to provide superior treatment outcomes. Methods: The demographic, clinical, and technical data of patients who received genicular nerve RF for knee pain between September 2016 and September 2021 were evaluated. A positive outcome was defined as at least 50% pain relief on a pain score for at least 6 months. Logistic regression analysis was performed to determine the factors associated with a successful response to genicular RF. Results: Among 206 patients who underwent genicular RF, 62% of the patients reported successful outcomes at 6 months. In the multivariate model, targeting 5 nerves (odds ratio [OR], 6.184; 95% confidence interval [CI], 2.291-16.690; P < 0.001) was the most significant predictor of successful outcomes. Multivariable logistic regression analysis showed that prognostic genicular nerve block with a 50% cut-off value (OR, 2.109; 95% CI, 1.038-4.287; P = 0.039), no opioid use (OR, 2.753; 95% CI, 1.405-5.393; P = 0.003), and depression (OR, 0.297; 95% CI, 0.124-0.713; P = 0.007) were the predictive factors significantly associated with response to genicular RF. Conclusions: Clinical and technical factors associated with better treatment outcomes were ultimately targeting more nerves, performing prognostic block, no opioid use, and no depression. These results are expected to be considered when selecting patients for genicular RF.

Chronic pain affects a significant amount of the population and represents a heavy personal and socioeconomic burden. Chronic pain mechanisms can be categorized as nociceptive, neuropathic, or nociplastic. Although mechanism-based pain treatment is optimal, different types of pain mechanisms may overlap in patients. Recently, the biopsychosocial model with the multidisciplinary pain management program is widely accepted as one of the most effective methods to assess and manage chronic pain. The treatment of chronic pain consists of a personalized, stepwise, and multimodal approach that includes pharmacotherapy, psychotherapy, integrative treatments, and interventional procedures. Somatic and peripheral nerve blocks for the treatment of chronic pain are often deferred. With the increasing use of ultrasound in pain medicine, newly defined interfascial plane blocks, which may be performed alone or as an adjuvant to multimodal management, have gained popularity. Adequate pain management can improve physical functioning, mental health and quality of life indicators, and reduce pain chronification. The aim of this current article is to perform a comprehensive and updated review of existing treatment options, particularly interfascial plane blocks in chronic pain syndromes.

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