Clinical evaluation of Computer Aided Diagnosic support for ultrasound assessment of ovarian tumours

Purpose and goal: In a clinical study, we aim want to evaluate a workflow with an AI-driven decision support IntelligynAI a new medical technology product, as "second reader", in the ultrasound diagnosis of ovarian tumours. We specifically want to evaluate -If the doctor succeeds in producing and selecting ultrasound images that are suitable for AI analysis

-How the doctor perceives the work flow and the work environment is affected -Doctor diagnostic confidence -The patient´s experience Expected results and effects:

We anticipate that implementing the IntelligyAI platform into the clinical workflow, as a diagnostic support tool for the ultrasound assessment of ovarian tumours is is safe and feasible. We also aim to show that the use of the AI-platfotm lead to a more cost-efficient workflow, better work environment for doctors, and that the technique is well accepted by patients.

Approach and implementation:

We will include 60 patients with ovarian tumors who undergoing ultrasound examination at Södersjukhuset. Selected ultrasound images will be sent sent directly from the ultrasound system for AI analysis, and

the doctor instantaneously receives back a cancer riskprediction and managment suggestion. We will evaluate several doctors experience as well as the patients´ opinions on AI supported diagnostics as part of the clinical workflow.