Our group is involved in conducting an extensive research project relating to artificial intelligence (AI) in healthcare. Our main goal is to create a unique AI model which can non-invasively diagnose common autosomal trisomies (CATs). We plan to execute this by taking advantage of radiomic and genomic data and integrating it using AI in order to support clinical decision making.
Our AI journey began back in November 2020 as part of the Maastricht University Honours programme. Our group started discussing the existing limitations in modern reproductive healthcare and how we could counter these. We agreed that we wanted to conduct research on CATs and on methods for their diagnosis.
Next, we established that with the use of AI, we could aim to develop a specific and accurate model which could be used as a guide for healthcare professionals in making diagnostic decisions. To head start our research on the matter, we begun presenting weekly journal clubs. In these meetings, one member could present an article on a similar study, and each member would join in a discussion to broaden our perspective in this field.
Weekly journal clubs
Exploration of topic
Our group also enrolled in winter schools, attended lectures by an AI expert, and took courses on Data Camp to further familiarize ourselves with the topic. Once fully equipped with the necessary knowledge, we decided to write an extensive review that sets out the history, current state of affairs, and future perspective of radiomic and genomic diagnostic tools as well as their application in combination with AI approaches.
This review is currently in its final stages editing, and we aim for publication.
Lastly, we started pre-processing genomic and ultrasonic data obtained through approval of our research proposal. Once finished, we will start developing our model and hopefully gain new insights into the possibilities of AI integration in the field of radiogenomics.
As this journey advances, we will continue to expand our horizons and hope to develop and share our knowledge in the field of AI in gynaecology and obstetrics, along with helping prospective parents through information pertaining to pregnancy-related concerns.