Head and neck cancer often goes undetected until it reaches an advanced stage, with up to 70% of cases falling into this category. The NHS has set significant goals for 2023/24, including earlier cancer detection, improved healthcare efficiency, and reduced environmental impact.
Diagnosing head and neck cancer is challenging, especially with nasendoscopy, a procedure that involves a clinician examining the nasal passage, throat, and voice box using a camera. The accuracy of nasendoscopy is subjective, relying on the clinician's skill, which can lead to inaccuracies in diagnosis.
Blaise by ChaseAI is a groundbreaking software that substantially enhances the accuracy of nasendoscopy.
Blaise can be seamlessly integrated with the existing equipment used for this procedure and has the remarkable ability to capture images, identify cancer, and generate detailed reports using Artificial Intelligence (AI) and machine learning.
In rigorous testing, Blaise outperformed experienced doctors, in identifying cancer cases and to accurately rule out cancer when it is not present.
Wider adoption of Blaise has the potential to diagnose cancer earlier, not only saving lives but also reducing the financial burden on the NHS by cutting treatment costs related to unnecessary tests and biopsies.
Click on the tabs below the team profiles to see further insights into each member.
Soudeh-Chegini, HNC surgeon at UHBW with a PhD in biomedical engineering, created Blaise's AI. With expertise in AI development and surgical technology validation.
Software customer relations expert with 10+years UI/software-development experience.
API/backend-developer and Chief-Technology-Officer, has 17years working in financial and medical sectors(software-as-medical- device), responsible for connectivity and web interface.
Click on the tabs below the team profiles to see further insights into each member.
HNC nurse specialist at UHBW.
Business-Development-Executive and Regulatory-Lead, has experience in NHS procurement and was previously employed at MHRA will ensure the project remains on-track to achieve Medical Device certification.
We also have various clinical consultants sitting on the board, with a wide variety of skills and experience. They have experience in clinical research, ethics and have co-authored a number of publications.
Images are recorded during the nasendoscopy procedure, processed through Blaise AI algorithm and stored on a protected cloud.
Blaise provides a diagnosis in the form of a report which is logged in the patient’s online medical records.
The images and report can also be reviewed remotely via our website providing access to your protected cloud database.
Sample FNE Report