麻豆社区

Cervical cancer is the fourth most common cause of death among women worldwide. Among women under 40, it is the second-deadliest cancer.

A promising partnership between the Department of Gynaecology at OUH and researchers 麻豆社区 could significantly improve the diagnostic and treatment process for women who are screened for cervical cell changes that may develop into cervical cancer.

An artificial intelligence algorithm has proved to be the key鈥攂enefiting staff, patients, and society at large. After an initial test phase, the next step is now underway, and it may become a major breakthrough, explains Lone Kjeld Petersen, Head of Research and Chief Consultant at the Department of Gynecology and Obstetrics.

鈥淭he technology examines the cervix through an advanced magnification device that allows us to capture images to identify potential cell changes. Together with the team of Applied AI and Data Science Unit 麻豆社区 led by Esmaeil S. Nadimi, we have developed a technology capable of analyzing these images and accurately detecting conditions that require closer examination by staff.

鈥淭he first model is incredibly accurate and can identify cell changes far better than the human eye. Now we need to test whether this holds up in practice鈥攁nd if it does, it could make a tremendous difference,鈥� she says.

Better diagnosis with fewer (or no) tissue samples

Today, examinations involve capturing images and taking four tissue samples, which are then sent for laboratory analysis. It takes 5鈥�6 weeks before the woman receives an answer on whether she requires further treatment.

In the future, AI technology may detect treatment-requiring changes and deliver results immediately. This means the department can avoid both over- and undertreatment, as any necessary procedures can begin right away. The number of tissue samples may also be reduced to just one鈥攐r potentially none鈥攊f the technology proves reliable.

鈥淚t is a great relief for women to receive clarification quickly and avoid weeks of worry. They are either immediately reassured, or if something requires treatment, we can begin right away,鈥� says Lone Kjeld Petersen.

Strong collaboration between university and hospital

Several years ago, Lone Kjeld Petersen and her colleagues reached out to CAI-X, a knowledge center that serves as a bridge between SDU, OUH, and industry partners in the development of AI-driven healthcare solutions.

鈥淚t鈥檚 truly unique. I didn鈥檛 know who at the university could help us, but the support we鈥檝e received has enabled us to develop this technology over the past few years in collaboration with our skilled colleagues at the Faculty of Engineering,鈥� she explains.

One of the researchers who has built and developed the algorithm from the ground up is Smith Khare, Assistant Professor at the Maersk Mc-Kinney M酶ller Institute. His work focuses, as he puts it, on developing AI algorithms for clinical challenges.

More than 98% accuracy in the developmental phase

Thanks to large volumes of image material with known outcomes (i.e., whether cell changes were present), the AI could be trained under optimal conditions鈥攁nd the preliminary results speak for themselves, says Smith Khare.

鈥淲e have developed an algorithm that can identify whether a woman is at low or high risk of cell changes. In the developmental phase, it was correct in about 98% of cases, which is extremely promising. Combining technology and clinical expertise makes perfect sense, as it allows us to bring new treatments to patients and benefit society,鈥� he says.

Will the technology replace clinical staff?

As a professor and senior consultant, Lone Kjeld Petersen is a leading expert in the field. Asked whether AI could replace clinical judgment, she emphasizes that such technologies should always be used as a supplement.

鈥淲e see the AI model as a tool to support clinicians鈥攏ot replace them. There are many aspects to consider, and we must protect the ethical dimension. The AI highlights areas in the cervix that we, as clinical staff, should examine more closely. We continuously evaluate the technology, and it is constantly being refined to reach a level where it can be used as a clinical standard.
I have worked in this field for many years and have written the clinical guidelines. I must simply acknowledge that we are not always as accurate as we would like to be鈥攈ence the need for four tissue samples today. When our algorithm can help deliver faster and more accurate diagnoses, it makes perfect sense to use it鈥攂ut always with care,鈥� she says.

Can benefit women around the world

If the technology continues to develop and becomes fully implementable, Lone Kjeld Petersen believes it could have a profound impact on women鈥檚 health globally.

鈥淐ervical cancer is one of the most common causes of death among young women worldwide. In many countries, the tools to detect cell changes in time simply do not exist, leading to countless cases of illness and death. If we continue to develop an effective technology, I truly believe we can improve diagnostics on personal, professional, and societal levels,鈥� she concludes.