In the face of increasing subspecialisation, how does the specialty ensure that the management of ENT emergencies is timely, appropriate and safe?

Applications and challenges of neural networks in otolaryngology (Review)

Artificial Intelligence (AI) has become a topic of interest that is frequently debated in all research fields. The medical field is no exception, where several unanswered questions remain. When and how this field can benefit from AI support in daily routines are the most frequently asked questions. The present review aims to present the types of neural networks (NNs) available for development, discussing their advantages, disadvantages and how they can be applied practically. In addition, the present review summarizes how NNs (combined with various other features) have already been applied in studies in the ear nose throat research field, from assisting diagnosis to treatment management. Although the answer to this question regarding AI remains elusive, understanding the basics and types of applicable NNs can lead to future studies possibly using more than one type of NN. This approach may bypass the actual limitations in accuracy and relevance of information generated by AI. The proposed studies, the majority of which used convolutional NNs, obtained accuracies varying 70-98%, with a number of studies having the AI trained on a limited number of cases (<100 patients). The lack of standardization in AI protocols for research negatively affects data homogeneity and transparency of databases.

Performance of emergency surgical front of neck airway access by head and neck surgeons, general surgeons, or anaesthetists: an in situ simulation study

BACKGROUND

The 'cannot intubate cannot oxygenate' (CICO) emergency requires urgent front of neck airway (FONA) access to prevent death. In cases reported to the 4th National Audit Project, the most successful FONA was a surgical technique, almost all of which were performed by surgeons. Subsequently, UK guidelines adopted surgical cricothyroidotomy as the preferred emergency surgical FONA technique. Despite regular skills-based training, anaesthetists may still be unwilling to perform an emergency surgical FONA. Consultant anaesthetists, head and neck surgeons, and general surgeons were compared in a high-fidelity simulated emergency. We hypothesised that head and neck surgeons would successfully execute emergency surgical FONA faster than anaesthetists and general surgeons.

METHODS

We recruited 15 consultants from each specialty (total of 45) at a single tertiary care hospital in the UK. All agreed to participate in an in situ high-fidelity simulation of an 'anaesthetic emergency'. Participants were not told in advance that this would be a CICO scenario.

RESULTS

There were no significant differences in total time to successful ventilation between anaesthetists, head and neck surgeons and general surgeons (median 86 vs 98 vs 126 s, respectively, P=0.078). Anaesthetists completed the emergency surgical FONA procedure significantly faster than general surgeons (median 50 vs 86 s, P=0.018). Despite this strong performance, qualitative data suggested some anaesthetists still believed 'surgeons' best placed to perform emergency surgical FONA in a genuine CICO situation.

CONCLUSION

Anaesthetists regularly trained in emergency surgical FONA function at levels comparable with head and neck surgeons and should feel empowered to lead this procedure in the event of a CICO emergency.