The First International Multidisciplinary Symposium on Artificial Intelligence in Medicine: Analytics and Algorithms, Big Data, Cloud and Cognitive Computing, and Deep Learning in Medicine and Healthcare
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Session Videos

DAY 1 - OPENING SESSION- HISTORY OF ARTIFICIAL INTELLIGENCE IN MEDICINE
DAY 2 - OPENING SESSION - CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN MEDICINE
DAY 3 - OPENING SESSION - FUTURE STATE OF ARTIFICIAL INTELLIGENCE IN MEDICINE

Photos from AIMed

Featured Speakers

Anthony Chang

Chief Intelligence and Innovation Officer, CHOC Children's, AIMed Program Chair

Enrico Coiera

Professor of Medical Informatics, Macquarie University

Daniel Kraft

Physician / Scientist at Stanford Medical School

Jeremy Howard

Founder & Deep Learning Researcher, fast.ai

Timothy Chou

Lecturer at Stanford University

Spyro Mousses

Chief Scientist, Medical Intelligence and Innovation Institute, CHOC Children's

Wen Dombrowski

Physician / Chief Convergence Officer, CATALAIZE

Nardo Manaloto

CEO, CATALAIZE

1:00pm - 3:00pm
WORKSHOP A: PRIMER ON ARTIFICIAL INTELLIGENCE FOR THE CLINICIAN

(Ronen Tal Botzer/ James Dzierzanowski/ Enrico Coiera/ Sharief Taraman)
Describes the basic principles of artificial intelligence such as data mining, cognitive computing, and deep learning for the clinicians who have minimal exposure to this realm.

(William Feaster/ Alexander Barrett/ Kevin Maher/ Curt Langlotz)
Describes the basic principles of clinical medicine and healthcare such as physician-patient relationship, medical data and databases, and how physicians think for the data scientists who have minimal exposure to this realm.

(Curt Kennedy/ Michael Gillam/ Randall Wetzel/ Spyro Mousses)
Describes the basic principles of data and databases such as types of data, graph databases, data mining, and big data in medicine and healthcare.

(Spyro Mousses/ Lynda Chin/ Rob High/ Walt Gall)
Describes the basic principles of cognitive computing such as cognition, language processing, and machine language for the clinicians who have minimal exposure to this realm.

(James Dzierzanowski/ Kevin Hall / Jack Po/ William Feaster)
Describes the basic principles of cloud computing such as private and public cloud infrastructures, hybrid cloud, and meta-databases in the cloud for the clinicians who have minimal exposure to this realm.

(May Wang/ Vishal Nangalia/ Ken Ferrell/ Yannis Ioannidis)
Describes the basic principles of machine and deep learning such as neural networks, supervised vs unsupervised learning, and deep learning variants for the clinicians who have minimal exposure to this realm.

8:00am - 8:45am
OPENING SESSION: HISTORY OF ARTIFICIAL INTELLIGENCE IN MEDICINE

(Anthony Chang/ Mark Musen/ Curt Langlotz/ Enrico Coiera)

Overview (John Mattison)
Evidence-based Medicine and Limitations (Todd Feinman)
Evidence-Based Medicine vs Big Data in Medicine (Leo Anthony Celi)
Big Data in NonMedical Sectors and Lessons for Healthcare (Jack Po)
Big Data Infrastructure in Medicine and Health Care (Lynda Chin)
Round Table and Takeaways

Overview (William Feaster)
Data Sharing in Healthcare and Blockchain (Kevin Hall)
Data and Cybersecurity (Ali Pabrai)
Data and Knowledge Discovery in Biomedicine (Nick Van Terheyden)
New Databases in Medicine and Health Care (Ash Damle)
Round Table and Takeaways

(Leo Anthony Celi / Peter Laussen/ Randall Wetzel/ Dmitir Baronov)

8:00am - 8:45am
OPENING SESSION: CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN MEDICINE

(Anthony Chang/ Ronen Tal-Botzer/ Rachel Thomas/ Steven Wartman)

Overview (Jeremy Howard)
Data Mining and its Limitations (May Wang)
Machine Learning and Administrative Aspects (S. Suresh)
Machine Learning and Challenges in Medicine (Jon Williams)
Limitations of Machine Learning in Medicine (Michael Fahy)
Round Table and Takeaways

(Ronen Tal-Botzer/ Curt Kennedy/ Enrico Coiera/ Larry Stofko/ Leo Anthony Celi / Michael Fahy/ Nardo Manaloto / Wen Dombrowski/ Yannis Ioannidis)

Decision Support and Hospital Monitoring
(Peter Laussen/ Dimitar Baronov/ Randall Wetzel/ David Ledbetter)

Medical Imaging and Biomedical Diagnostics
(Fabien Beckers/ Ronen Tal-Botzer)

Precision Medicine and Drug Discovery
(Spyro Mousses/ Yannis Ioannidis)

Cloud Computing and Big Data
(Curtis Kennedy/ Jack Po/ Philip Smith)

Digital Medicine and Wearable Technology
(Michael Gillam/ Marty Kohn/ William Feaster)

Robotic Technology and Virtual Assistants
(Nardo Manaloto/ Erik Viirre/ Jason Knight)

8:00am - 8:45am
OPENING SESSION: FUTURE STATE OF ARTIFICIAL INTELLIGENCE IN MEDICINE

(Anthony Chang/ Jeremy Howard/ Jack Po/ Timothy Chou/ Laurence Ainouz)

Overview (Spyro Mousses)
Natural Language Processing and Challenges (Andreea Bodnari)
Cognitive Computing and Biomedicine (Walt Gall)
The Internet of Things and Everything (Timothy Chou)
Ethical Issues in AI and Medicine (Wen Dombrowski)
Round Table and Takeaways

Overview (Jeremy Howard)
Human Cognition vs Deep Learning in Medicine (Sharief Taraman)
Deep Learning in Medical Imaging (Fabien Beckers)
Deep Learning and Healthcare (Dennis Wall)
Future Potential of Deep Learning in Healthcare (Joel Dudley)
Round Table and Takeaways

Congratulations to our abstract winners!