AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT

no code implementations • 23 Mar 2023 • Edward H. Lee, Brendan Kelly, Emre Altinmakas, Hakan Dogan, Maryam Mohammadzadeh, Errol Colak, Steve Fu, Olivia Choudhury, Ujjwal Ratan, Felipe Kitamura, Hernan Chaves, Jimmy Zheng, Mourad Said, Eduardo Reis, Jaekwang Lim, Patricia Yokoo, Courtney Mitchell, Golnaz Houshmand, Marzyeh Ghassemi, Ronan Killeen, Wendy Qiu, Joel Hayden, Farnaz Rafiee, Chad Klochko, Nicholas Bevins, Faeze Sazgara, S. Simon Wong, Michael Moseley, Safwan Halabi, Kristen W. Yeom

While it is well known that population differences from genetics, sex, race, and environmental factors contribute to disease, AI studies in medicine have largely focused on locoregional patient cohorts with less diverse data sources.

Federated Learning

The Ability of Image-Language Explainable Models to Resemble Domain Expertise

no code implementations • 19 Sep 2022 • Petrus Werner, Anna Zapaishchykova, Ujjwal Ratan

In addition, model transparency and involvement of domain expertise are critical success factors for machine learning models to make an entrance into the field.

Explainable Models

Improving Early Sepsis Prediction with Multi Modal Learning

no code implementations • 23 Jul 2021 • Fred Qin, Vivek Madan, Ujjwal Ratan, Zohar Karnin, Vishaal Kapoor, Parminder Bhatia, Taha Kass-Hout

Clinical text provides essential information to estimate the severity of the sepsis in addition to structured clinical data.