The end of the semester was marked by a significant academic activity in which Medical Technology and Electrical Civil Engineering students shared the progress of their thesis projects. This event allowed students to present their research in preparation for the critical thesis defense, in front of their peers and distinguished guests from the healthcare field.
The projects presented reflect a strong interdisciplinary focus and the use of advanced artificial intelligence tools applied to real clinical problems. The works showcased include:
- Pilar Nilo (Electrical Civil Engineering): “Segmentation and classification of sperm heads to differentiate normality using deep learning.”
- Bastián Castelli (Electrical Civil Engineering): “Advanced algorithm for segmentation and quantification of arterial calcifications in breast tomosynthesis using deep learning and vision transformers.”
- Diego Bartolucci (Electrical Civil Engineering): “Segmentation and quantification of breast density in tomosynthesis images using deep learning and vision transformers.”
- Vicente Cajas & Sebastián Millar (Medical Technology): “Development of a deep learning algorithm for estimating breast density in T1-weighted MRI images.”
- Aníbal Molina (Master’s in Medical Informatics – remote presentation): “Prediction of aortic stenosis severity from baseline electrocardiograms using artificial intelligence.”
Collage of the participants in this academic event.
This work resulted from a sustained process throughout the semester, with weekly meetings every Wednesday to guide students in developing their projects, exchange ideas, and provide mentorship. This collaborative dynamic resulted in presentations that reflect each student’s commitment, rigor, and innovative capacity. We especially appreciate the collaboration of Professor Denisse Karl Sáez and Professor Víctor Castañeda, who participated in the evaluation committees, strengthening the connection between engineering and medical sciences. We proudly congratulate all the students who will soon defend their theses, completing a key stage of their professional training.