Medical Intelligence Society (MIS) Summit 2021

About The Medical Intelligence Society Virtual Summit

Medicine has been a clinical science, supported by data. Medicine is about to become a data science, supported by clinicians.

Are you a clinician with an interest, education or dedication to AI and Data Science? Come join us and register now for this free event!

The dynamic agenda consists of an AI primer, journal club discussions, talks, open forums, workshops, and keynotes.

Dates: Friday, July 30 and Saturday, July 31

Times:
7/30 –  7:00 am to 3:00 pm (PDT) (w/Break 10:15 to 11:15 am for lunch)
7/31 – 8:00 to 11:15 am (PDT)

Fees: Free

Agenda

DAY 1 July 30, 7:00 am to 3:00 pm (Times Listed are in Pacific Daylight Time)

7:00 – 7:30 – Anthony Chan, Hoang Nguyen, Piyush Mathur, John Lee and Robert Hoyt – Opening Remarks and AI Primer

7:30 – 7:45 – Haleema Yezdani, Cartula Healthcare, India – “Bias and social determinants

7:45 – 8:00 – Fatme Charafeddine, American University of Beirut, Lebanon – “Learning Artificial Intelligence: A Spark of Hope in the middle of the Lebanese Crisis”

8:00 – 8:15 – Break

8:15 – 8:45 – Eric Eskioglu – “How AI will accelerate Safety, Quality and Reduction of Clinical Variation”

8:45 – 9:00 – Jeanne Shen, Stanford – “AI in pathology”

9:00 – 9:15 – Matthew Lungren, Stanford – “Designing a Clinical Machine Intelligence Center in an Academic Medical Center: the Stanford AIMI Experience”

9:15 – 9:30 – Break

9:30 – 9:45 – Jennifer Cortes and Kenny Leung – “An Engineering-Based Medical School’s Capstone Project: Improving Epilepsy Monitoring with AI-Powered Wearables”

9:45 – 10:15 – Anthony Chang, Hamilton Baker, Hoang Nguyen, King Li, Jennifer Cortes, Kenny Leung, Robert Hoyt – AI Education, Open Forum

10:15 – 11:15 – Lunch Break

11:15 – 11:45 – Ji Lin. MIT – TinyDL-MCUNET

11:45 – 12:00 – Tim MClerran – “Graph-based electronic health records: AI-ready from the ground up”

12:00 – 12:15 – Hatim Abdulhussein – “Defining the Learning Needs for Healthcare Professionals for AI and Data Driven technologies “

12:15 – 12:30 – Break

12:30 – 12:45 – Quinn Gates, Chapman University – ”Tissue phenotyping of colorectal cancer histology images”

12:45 – 1:00 – Feng (Johnson) Qian, Albany/Columbia – “Federated Learning during and post-COVID-19 Pandemic: Recent Progress and Future Opportunities”

1:00 – 1:15 – Alan Young, Kelahealth – ”AI COVID case studies”

1:15 – 1:30 – Break

1:30 – 1:45 – Howard Lei – ”PDA Echo Project – CHOC”

1:45 – 2:00 – Hamilton Baker“Academic AI Infrastructure: Building a Machine Learning Consult Service”

2:00 – 2:15 – Arash Arshadi – Artificial Intelligence for Covid19 Drug Discovery

2:15 – 2:30 – Ripon Chakrabortty, Canberra, Australia – “Impact of Swarm Intelligence Optimization Techniques for the IoMT and IoHT: Future Research Perspective-Bird’s Eye View”

2:30 – 3:00 – Anthony Chang, Matthew Lungren, Hamilton Baker – “How to build an AI Center for excellence”

Day 2 July 31, 8:00 – 11:15 am (Times listed are in Pacific Daylight Time)

8:00 – 8:20 – MIS Officers – MIS Business

8:20 – 8:35 – Anaik

8:35 – 8:50 – Robert Hoyt – “Data Science Workshop Using Orange”

8:50 – 9:00 – Break

9:00 – 10:00 – Peter Chang – ”COVID-19 Pneumonia on CXR Classifier”

10:00 – 10:15 – Break

10:15 – 11:00 – Louis Ehwerhemuepha and  Hanna Lu – Clinical NLP

11:00 – 11:15 – Anthony Chang – Closing Remarks