Articles: cations.
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Although proper pain evaluation is mandatory for establishing the appropriate therapy, self-reported pain level assessment has several limitations. Data-driven artificial intelligence (AI) methods can be employed for research on automatic pain assessment (APA). The goal is the development of objective, standardized, and generalizable instruments useful for pain assessment in different clinical contexts. ⋯ More recently, artificial neural networks such as convolutional and recurrent neural network algorithms are implemented, even in combination. Collaboration programs involving clinicians and computer scientists must be aimed at structuring and processing robust datasets that can be used in various settings, from acute to different chronic pain conditions. Finally, it is crucial to apply the concepts of explainability and ethics when examining AI applications for pain research and management.
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Acta Anaesthesiol Scand · Jan 2023
Randomized Controlled TrialPreparing for obstetric anaesthesia - an educational randomised controlled trial comparing e-learning to written course material.
E-learning is increasingly used in postgraduate medical education. Its numerous benefits include an enhanced learning experience through learning style individualisation, interactive elements, and assessment through tests and quizzes. Current meta-analyses conclude that the overall effectiveness of e-learning is comparable to traditional teaching modalities. However, studies demonstrating its benefits are heterogeneous and of varying quality. This randomised controlled trial aims to investigate whether contemporary e-learning completed prior to a course in obstetric anaesthesia prepares the course participants better than self-study of written course material. ⋯ This blinded parallel group randomised controlled trial found a numerically small but statistically significant difference in knowledge favouring e-learning over written course material.
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Acta Anaesthesiol Scand · Jan 2023
Observational StudyContinuous wireless pre- and postoperative vital sign monitoring reveal new, severe desaturations after vascular surgery.
Postoperative deviating physiologic values (vital signs) may represent postoperative stress or emerging complications. But they can also reflect chronic preoperative values. Distinguishing between the two circumstances may influence the utility of using vital signs in patient monitoring. Thus, we aimed to describe the occurrence of vital sign deviations before and after major vascular surgery, hypothesising that preoperative vital sign deviations were longer in duration postoperatively. ⋯ Deviating physiology is common in patients before and after vascular surgery. A longer duration of severe desaturation was found on the first postoperative day in the ward compared to preoperatively, whereas moderate desaturations were reflected in postoperative desaturations. Cumulative duration outside thresholds is, in some cases, exacerbated after surgery.
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The inferior alveolar nerve block (IANB) is an established technique with a success rate of 60-80%; however, large errors have been reported among operators. Some dentists do not prefer to use IANB because of the risk of complications. Nevertheless, it is a useful technique for pain control, and a secure IANB offers significant benefits to operators and patients. ⋯ No notable complications were observed. The appropriate type, concentration, and dosage of the local anesthetic must be considered during general dental treatment and oral surgical procedures. Our findings suggest that the IANB device is useful for eliminating errors between operators, enhancing safety, and improving the success rate.