AI Challenge: Identifying Surgical Instrument

Computer vision has advanced considerably but is still challenged in matching the precision of human intelligence. Could AI assist human to perform Surgical instrument counting go in and out of Hospital Operating Theatre – a task that takes place over hundred thousand times per year!

In this competition, you are challenged to build a machine learning model that identifies the categories of Ophthalmology surgical instrument in an images dataset on HKSTP’s latest service addition – Validation Platform where Optimal Performance Metrics can be formed. By automating this task, your participation will help spare enormous amount of health professional time for direct patient care and connection.

Phaco and Intraocular, two common instrument sets used in ocular surgery around 10,000 times annually, will be used for the competition.

Target groups: OPEN TO ALL (Corporate, Startups, individuals, self-formed groups, students)