Tentative Agenda

Stanford, CA || September 18-19, 2019

The symposium content will be based upon submitted abstracts. In the six topic areas we will 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:

Krzysztof Geras, PhD, MSc

"Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening"

Moderator:

TBA

Break

10:15AM

10:45AM

Topic 2: AI to improve selection of treatment options

10:45AM

11:45PM

Oral Presenters:

Peter McCaffrey, MD

"ImmuNET: A Neural Network to Improve the Selection of Immunotherapy in Cancer"

Marta Skreta, B.Sc.

"Automated prognosis of prenatal hydronephrosis"

Panel Participants:

Geoffrey Schau, MS 

"Deep Neural Estimation of Metastatic Origin of Liver Cancer"

Moderator:

Emily Menton

Lunch

11:45PM

1:15PM

Topic 3: AI to improve step-by-step clinical pathways used to apply treatments

1:15PM

2:15PM

Oral Presenters:

Alex Deakyne, MS

"Deep Learning pipeline for the automatic segmentation and 3D model generation of the four heart chambers; applied uses in pre-surgical planning"

Tony Duan, MS

"Guiding Heparin Treatment with Reinforcement Learning"

Panel Participants:

Erik Burlingame, MSc

"SHIFT: deep learning-based inference of biomarker distribution in histopathology images with speedy histopathological-to-immunofluorescent translation"

Sidra Xu

"Machine Learning-Assisted Prediction of Surgical Mortality of Lung Cancer Patients"

Moderator:

Quentin Hardy

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:

Maksim Tsvetovat, PhD

"A Conversational Dialogue Agent to Improve Outcomes in Healthcare"

Moderator:

Esther Dyson

Poster reception

3:15PM

5:00PM

 

Hosted By

In Collaboration With

Questions? Email pac-conference@stanford.edu for more information.