Identifying and classifying certain types of laryngeal lesions can be difficult for an ENT-surgeon. The expertise of Head and Neck surgeons is crucial for detecting head and neck tumours at an early stage. While ENT-surgeons are in every hospital, Head and Neck surgeons are almost only found in academic hospitals.
The difficulty to instantly classify laryngeal cancer and lesions leads to a longer waiting time for treatment, which can reduce the overall survival outcome for patients. Furthermore, there are high costs associated with diagnosing head and neck tumours, which can be ineffective.
Using Zeno AI will give ENT-surgeons a real-time AI analysis platform for early laryngeal cancer detection that can be utilised during an endoscopic examination (laryngoscopy). Zeno AI considerably reduces time to analyse complex medical data and assists in diagnosing laryngeal cancer faster.
Zeno AI brings the expert opinion of Head and Neck surgeons to outpatient clinics by providing instantaneous localisation and classification of laryngeal lesions on endoscopic video’s. Faster laryngeal cancer diagnosis can reduce healthcare costs and enables a faster care plan for patients.