AI Study Achieves 99% Accuracy in Diagnosing Ectopic Pregnancies

A groundbreaking artificial intelligence study developed by Medicana International İzmir Hospital has achieved remarkable success in diagnosing ectopic pregnancies, a condition that threatens women's health and lives. The AI model demonstrated a clinical accuracy of up to 99% in identifying ectopic pregnancy cases.

Beyond its diagnostic prowess for ectopic pregnancies, the AI model also proved highly effective in identifying healthy pregnancies, achieving a 99.8% accuracy rate. This significantly reduces the possibility of misdiagnosis, bringing the potential for error down to below 1%. The study's findings have been recognized globally, having been published in IEEE Access, a prestigious international journal for engineering and technology.

Dr. Gültekin Koçun, an Obstetrics and Gynecology Specialist at Medicana International İzmir Hospital and a key figure in the research, emphasized the critical importance of accurate diagnosis in ectopic pregnancies, alongside early detection. He explained that early and correct diagnosis allows for non-surgical treatment options, such as medication to stop cell growth and enable the body to absorb the pregnancy tissue.

"This AI support we have developed will allow us as physicians to receive warnings at a much earlier stage," Dr. Koçun stated. He highlighted that this technological advancement could lead to appropriate treatment being administered before surgery even becomes a consideration in most cases. This approach is vital for preserving future reproductive health.