Agenda
Stanford, CA || September 18-19, 2019
The symposium content is based upon submitted abstracts. In the six topic areas we invite an author of the top two winning abstract to give a 10-minute presentation and engage in a moderated discussion.
Welcome remarks from organizing committee
9:00AM
9:15AM
Topic 1: AI to improve accuracy of diagnosis and health risk assessment
9:15AM
10:15AM
Oral Presenters:
"Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening"
"Deciphering Quantitative Tissue Parameters from Single Qualitative MR Images by Deep Learning"
Moderator:
Matthew Lungren
Break
10:15AM
10:45AM
Topic 2: AI to improve selection of treatment options
10:45AM
11:45AM
Oral Presenters:
"ImmuNET: A Neural Network to Improve the Selection of Immunotherapy in Cancer"
"Automated prognosis of prenatal hydronephrosis"
Panel Participants:
"Deep Neural Estimation of Metastatic Origin of Liver Cancer"
Moderator:
Lunch
11:45AM
1:15PM
Topic 3: AI to improve step-by-step clinical pathways used to apply treatments
1:15PM
2:15PM
Oral Presenters:
"Deep Learning pipeline for the automatic segmentation and 3D model generation of the four heart chambers; applied uses in pre-surgical planning"
"Guiding Heparin Treatment with Reinforcement Learning"
Panel Participants:
"SHIFT: deep learning-based inference of biomarker distribution in histopathology images with speedy histopathological-to-immunofluorescent translation"
"Machine Learning-Assisted Prediction of Surgical Mortality of Lung Cancer Patients"
Moderator:
Topic 4: AI to detect and correct failures in clinician, patient and lay caregiver treatment actions inside and outside of healthcare facilities
2:15PM
3:15PM
Oral Presenters:
"A Conversational Dialogue Agent to Improve Outcomes in Healthcare"
"Reducing childhood blindness from retinopathy of prematurity using artificial intelligence"
Moderator:
Poster reception
3:15PM
5:00PM
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