Notable Participation of iHEALTH Members in Scientific Conferences
In recent weeks, a group of graduate students from the iHEALTH Millennium Institute showcased their research progress at various international conferences and seminars focused on artificial intelligence and engineering applied to healthcare.
On October 10, during the final session of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024) held in Marrakech, Morocco, Pablo Messina, a PhD student in Computer Science at UC Engineering, won 3rd place in the CXR-LT Challenge: Long-tailed, multi-label, and zero-shot classification on chest X-rays, with his work titled “Multi-modal image fact classification and grounding for long-tailed multi-label classification of chest X-ray images.”
Pablo, who is a student of Dr. Denis Parra, a professor at UC's Department of Computer Science and principal investigator at iHEALTH, explains: “The challenge consisted of classifying chest X-ray images from the MIMIC-CXR dataset into three tasks: 40 classes in the first task, 26 classes in the second, and 5 new classes in the third. The first two tasks used the same training set with automatically generated labels, but the second task was evaluated with a test set labeled by humans. The third task was a zero-shot classification challenge, without an official training set.”
Meanwhile, at the XX International Seminar on "Artificial Intelligence and Its Impact", held on October 1 by the Copec-UC Foundation, four PhD students from the University of Valparaíso, under the supervision of Dr. Rodrigo Salas, professor at the School of Biomedical Engineering at the same institution and principal investigator at iHEALTH, presented their research on various applications of AI in healthcare.
Ayleen Bertini presented “Interpretable Artificial Intelligence Applied to Predicting Excessive Gestational Weight Gain in a Chilean Cohort,” Gabriel Guerra showcased his work on “Oncological Neuroimaging Segmentation with XAI-Transformers,” and Eduardo Godoy discussed “Artificial Intelligence for Diagnosis and Clinical Processes.” Additionally, Sebastián Ponce introduced his project “SafeReagents: Simplifying Laboratory Reagent Ordering,” which he is developing alongside academics from the University of Valparaíso and the Catholic University.
Furthermore, on October 4, the graduate students from the UC Institute for Biological and Medical Engineering (IIBM) organized the 3rd Annual IIBM PhD Symposium: “Advances in Biological and Medical Engineering.” In this event, PhD students from the institute, supervised by principal investigators at iHEALTH, Dr. María Rodríguez, Dr. Pablo Irarrázaval, and Dr. René Botnar, shared their progress.
Daniel Solomons presented “FMRI-informed Grey Matter Volume Asymmetries in Language Areas of the Brain,” Cristina Alfaro showcased her research on “Deep Learning Algorithms for Breast Tumor Segmentation Using an In-silico Digital Breast Tomosynthesis Dataset,” and Naomi Aldea, an undergraduate student, introduced her project “Neoplasm Identification by Fume Fingerprinting (SNIFF): A Novel AI-Driven Gas Analysis for Real-Time Tumor Margin Detection.”
These contributions highlight the commitment of iHEALTH students to advancing research in artificial intelligence applied to healthcare, positioning the institute as a key player at the intersection of technology and medicine.
