How close are we to anterior robotic skull base surgery?

Artificial Intelligence in Otology, Rhinology, and Laryngology: A Narrative Review of Its Current and Evolving Picture

With technological advancements, artificial intelligence (AI) has progressed to become a ubiquitous part of human life. Its aspects in otorhinolaryngology are varied and are continuously evolving. Currently, AI has applications in hearing aids, imaging technologies, interpretation of auditory brain stem systems, and many more in otology. In rhinology, AI is seen to impact navigation, robotic surgeries, and the determination of various anomalies. Detection of voice pathologies and imaging are some areas of laryngology where AI is being used. This review gives an outlook on the diverse elements, applications, and advancements of AI in otorhinolaryngology. The various subfields of AI including machine learning, neural networks, and deep learning are also discussed. Clinical integration of AI and otorhinolaryngology has immense potential to revolutionize the healthcare system and improve the standards of patient care. The current applications of AI and its future scopes in developing this field are highlighted in this review.

Feasibility of an Exoskeleton Armrest to Improve Ergonomics during Endoscopic Sinus and Skull Base Surgery

OBJECTIVE

The main objective of this study was to develop and evaluate the feasibility and effectiveness of a novel exoskeleton system designed to provide ergonomic assistance to surgeons while preserving or improving the quality of endoscopic sinus and skull base surgical procedures.

METHODS

To evaluate the functionality and ergonomic characteristics of the device, five experiments were conducted in different and increasingly realistic scenarios: silicone model of the nasal cavity, freshly frozen cadavers and finally in a real surgery. Each volunteer's task was recorded and timed. The National Aeronautics and Space Administration Task Load Index (NASA-TLX) rating scale was used to estimate the surgeons' workload while performing the tasks.

RESULTS

Twenty-five volunteers took part in the experiments. Volunteers perceived more comfort and less fatigue and pain when using the armrest than when not using the device (3.3, SD 1.75 vs. 5.9 SD 1.49; p = 0.02). Participants found the device intuitive, comfortable, and improving accuracy and stability with endoscope use.

CONCLUSION

A new system that provides ergonomic assistance to surgeons was tested in simulation surgery with acceptable usability. Initial results in terms of pain and fatigue reduction and efficiency were excellent, justifying further research into this technology.

LEVEL OF EVIDENCE

NA Laryngoscope, 134:79-86, 2024.

The Evolution and Application of Artificial Intelligence in Rhinology: A State of the Art Review

OBJECTIVE

To provide a comprehensive overview on the applications of artificial intelligence (AI) in rhinology, highlight its limitations, and propose strategies for its integration into surgical practice.

DATA SOURCES

Medline, Embase, CENTRAL, Ei Compendex, IEEE, and Web of Science.

REVIEW METHODS

English studies from inception until January 2022 and those focusing on any application of AI in rhinology were included. Study selection was independently performed by 2 authors; discrepancies were resolved by the senior author. Studies were categorized by rhinology theme, and data collection comprised type of AI utilized, sample size, and outcomes, including accuracy and precision among others.

CONCLUSIONS

An overall 5435 articles were identified. Following abstract and title screening, 130 articles underwent full-text review, and 59 articles were selected for analysis. Eleven studies were from the gray literature. Articles were stratified into image processing, segmentation, and diagnostics (n = 27); rhinosinusitis classification (n = 14); treatment and disease outcome prediction (n = 8); optimizing surgical navigation and phase assessment (n = 3); robotic surgery (n = 2); olfactory dysfunction (n = 2); and diagnosis of allergic rhinitis (n = 3). Most AI studies were published from 2016 onward (n = 45).

IMPLICATIONS FOR PRACTICE

This state of the art review aimed to highlight the increasing applications of AI in rhinology. Next steps will entail multidisciplinary collaboration to ensure data integrity, ongoing validation of AI algorithms, and integration into clinical practice. Future research should be tailored at the interplay of AI with robotics and surgical education.

The Current State of Visualization Techniques in Endoscopic Skull Base Surgery

Skull base surgery has undergone significant progress following key technological developments. From early candle-lit devices to the modern endoscope, refinements in visualization techniques have made endoscopic skull base surgery (ESBS) a standard practice for treating a variety of conditions. The endoscope has also been integrated with other technologies to enhance visualization, including fluorescence agents, intraoperative neuronavigation with augmented reality, and the exoscope. Endoscopic approaches have allowed neurosurgeons to reevaluate skull base neuroanatomy from new perspectives. These advances now serve as the foundation for future developments in ESBS. In this narrative review, we discuss the history and development of ESBS, current visualization techniques, and future innovations.