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ISSN 2539-0859 (Electronic)
ISSN 0120-8411 (Print)
Asociación Colombiana de Otorrinolaringología y Cirugía de Cabeza y cuello, Maxilofacial y Estética Facial (ACORL)

2022, Number 2

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Acta de Otorrinolaringología CCC 2022; 50 (2)

Development of a Movil App for the Preoperative Evaluation of Sinus CT Scan: One Step Towards Artificial Intelligence

Ospina J, Forigua DC, Hernández CA, Ayobi MN, Correa GT, Peñaranda A, Janjua A

Language: Spanish
References: 15
Page: 124-132
PDF size: 776.01 Kb.


ABSTRACT

Introduction: The recent technology revolution that we have experienced has generated extensive interest in the use of artificial intelligence (AI) in the development of various systems and solutions in medicine. In the field of Otorhinolaryngology, we are seeing the first efforts to take advantage of this flourishing area. Objective: We sought to describe the development process of a mobile app created through a collaborative effort between ENT surgeons and biomedical engineers. This app has the intention to optimize the preoperative evaluation of paranasal sinus tomography (CT) to improve safety and outcomes in Endoscopic Sinus Surgery (ESS). Methods: The development of the app followed the prioritization method for MoSCoW specifications. We used the information collected from surveys of 29 Rhinology experts from different parts of the world, who evaluated anatomical variants on sinus CT scans. Two regression models were used to predict difficulty and risk using statistical learning. Conclusion: Via statistical modelling, we have developed a user-friendly tool that will ideally help surgeons assess the risk and difficulty of ESS based on the pre-operative CT scan of the sinuses. This is an exercise that demonstrates the efficacy of the collaborative efforts between surgeons and engineers to leverage AI tools and promote better solutions for our patients.


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