Women with newly detected ovarian lesions, undergoing transvaginal ultrasound examination. Urological and Genital Diseases
Conditions
Interventions
The study aims to asses a clinical workflow where examining physicians utilize AI-driven diagnostic support. During the ultrasound examination, selected images are sent to the IntelligynAI platform, w
Sponsors
Karolinska Institutet
Eligibility
Sex/Gender
Female
Inclusion criteria
Inclusion criteria: Women with newly detected adnexal lesions (known for less than 4 months).
Exclusion criteria
Exclusion criteria: Individuals with a mental or psychological disability limiting their ability to give informed consent. Women with adnexal lesions known for more than 4 months. Women under 18 years of age.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Self-perceived confidence in the diagnosis and management provided by the examiner, in a study protocol, at the baseline ultrasound examination, self-perceived satisfaction and workload using AI support, through a doctor´s questionnaire, at the end of the trial | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Percentage of cases with adequately collected and selected images, trough the review of patients files at the end of the trial 2. Diagnostic accuracy: Alignment of the physician’s assessment with AI support, trough the study protocol filled out by the examiner at the time of the baseline ultrasound examination against final outcomes (from histology or ultrasound follow-up over at least 9 months), through the review of patient's files, at the end of the trial | — |
Countries
Sweden
Contacts
Public ContactElisabeth Epstein
Outcome results
None listed