News

A Pilot Study of Augmented Intelligence Risk-Based Stratification for Endocrine Surgical Waiting List Prioritisation

This pilot study has identified many potential benefits to using a machine learning risk stratification evidence-based tool to assist prioritisation of NHS waiting lists. Clinicians will be able to create a personalised risk assessment based on the patient pre-operative physiological state, which will inform them when making decisions on behalf of their patients.

Currently, the prioritisation of patients is formulated using the FSSA and BAETS criteria, and this is based on a Delphi exercise of expert opinion [3,5]. [The C2-Ai Prioritisation System] adds additional insight to this decision-making process by providing a platform for more objective clinical decision-making using substantial physiological and epidemiological datasets.

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from Youtube
Vimeo
Consent to display content from Vimeo
Google Maps
Consent to display content from Google
Spotify
Consent to display content from Spotify
Sound Cloud
Consent to display content from Sound