Need for novel AI to be used in women鈥檚 health

Clinicians discuss transvaginal ultrasound images.

Research has shown the potential for artificial intelligence (AI) to assist in the diagnosis of conditions, like endometriosis, but what happens if the modelling is incorrect?

Recent from PhD student Alison Deslandes, from the IMAGENDO team at the University of 新浪彩票鈥檚 Robinson Research Institute, has begun to address this by developing a quality scoring system for gynaecological images used by diagnostic AI algorithms.

鈥淭he development of valuable AI tools to assist with ultrasound diagnosis is dependent on algorithms being developed with high-quality data,鈥 says Ms Deslandes.

鈥淧reviously, researchers have shown that the performance of deep learning systems is reduced significantly when applied to images from low-cost ultrasound machines with lower image quality.

鈥淚t鈥檚 important we consider creating AI tools to assess image quality at the same time as exploring the use of AI algorithms to diagnose the condition to ensure satisfactory information is being used.鈥

After a literature review, researchers developed a way to score the quality of transvaginal ultrasounds (TVUS), with six professionals assign