2020 Abstracts

Oral Presentations

An artificial intelligence method for fast diagnosis of rare disease

Francisco M. De La Vega, Barry Moore, Erwin Frise, Shimul Chowdhury, Narayanan Veeraraghavan, Stephen F. Kingsmore, Martin G. Reese, and Mark Yandell

Deep learning assistance for physician diagnosis of tuberculosis
using chest x-rays in HIV patients

Pranav Rajpurkar, Chloe O’Connell, Amit Schechter, Nishit Asnani, Jason Li, Amirhossein Kiani, Robyn L. Ball, Marc Mendelson, Gary Maartens, Daniël J. van Hoving, Rulan Griesel, Andrew Y. Ng, Tom H. Boyles & Matthew P. Lungren

Laura Early Warning System (LEWS)

Hugo Morales, Jhonatan Kobylarz, Mateus Cichelero, Felipe Barletta, Cristian Rocha

Deep Learning to Predict Renal Outcomes Solely Based on
Kidney Ultrasound Images

Mandy Rickard, Lauren Erdman, Marta Skreta, Daniel T. Keefe, Michael Brudno, Armando J. Lorenzo, Anna Goldenberg

System for High Intensity EvaLuation During Radiation Therapy
(SHIELD-RT)

Julian C. Hong, Neville C.W. Eclov, Nicole Dalal, Samantha M. Thomas, Sarah J. Stephens, Mary Malicki, Stacey Shields, Alyssa Cobb, Yvonne M. Mowery, Donna Niedzwiecki, Jessica D. Tenenbaum, Manisha Palta

Posters