AI applied to the Medical domain

Study and development of algorithms for medical applications, with special emphasis on the explainability of the models, and the design of interfaces for human-computer interaction. The are two main projects: applications with medical images and evidence-based medicine.

Students

Pablo Messina, Pablo Pino, Andrés Carvallo, Ricardo Schilling, Tamara Covacevich, Gregory Schuit, Ria Deane, Daniel Florea, Vicente Castro, José Miguel Quintana

Collaborators

Cecilia Besa, Sergio Uribe, Marcelo Andía, Gabriel Rada

Latest publications

Clinically Correct Report Generation from Chest X-Rays Using Templates
Pino, Pablo, Parra, Denis, Besa, Cecilia, Lagos, Claudio
In Machine Learning in Medical Imaging 2021
Automatic document screening of medical literature using word and text embeddings in an active learning setting
Andres Carvallo, Denis Parra, Hans Lobel, Alvaro Soto
Scientometrics 2020
Inspecting state of the art performance and NLP metrics in image-based medical report generation
Pino, Pablo, Parra, Denis, Messina, Pablo, Besa, Cecilia, Uribe, Sergio
In Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020
An Interactive Relevance Feedback Interface for Evidence-Based Health Care
Donoso-Guzman, Ivania, Parra, Denis
In 23rd Conference on Intelligent User interfaces 2018
Monitoring obesity prevalence in the United States through bookmarking activities in online food portals
Trattner, Christoph, Parra, Denis, Elsweiler, David
PloS one 2017