GAIN ACTIONABLE INSIGHTS FROM INDUSTRY LEADERS
Over two days, the Ai4 Healthcare conference brings together business leaders, data practitioners, and AI pioneers who are applying artificial intelligence to solve problems and create opportunities in the healthcare industry. Thanks to the convergence of modern computing power and data science, the healthcare industry is leveraging AI to create entirely new value.
Industry leaders will highlight the most valuable insights for providers, payers, pharma, med tech, CROs, and PBMs delivering specific use cases and actionable insights. Whether you hold a technical, non-technical, or hybrid role, Ai4 is focused on helping you along on your AI journey, at whichever stage you may be.
A New Kind of Conference
Healthcare Industry Specific
A conference built just for you
Practical Use Case Driven
Real insights that you can apply today
Application Only
To ensure quality connections
Curated 1:1 Meetings
Cut to the chase. Meet the right people.
A New Kind of Conference
Healthcare Industry Specific
A conference built just for you
Application Only
To ensure quality connections
Practical Use Case Driven
Real insights that you can apply today
Curated 1:1 Meetings
Cut to the chase. Meet the right people.
what you'll learn
Our goal at Ai4 Healthcare is to provide a common framework for thinking about what AI means to the healthcare industry.
The illustration shows the AI use cases we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today.
Artificial intelligence has the ability to leverage a variety of datasets- including images, text, audio, video, structured data, unstructured data, and more. The modern use of AI is less about automating human roles and more about augmenting them.
Our goal at Ai4 Healthcare is to provide a common framework for thinking about what AI means to the healthcare industry.
The illustration shows the AI use cases we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today.
Artificial intelligence has the ability to leverage a variety of datasets- including images, text, audio, video, structured data, unstructured data, and more. The modern use of AI is less about automating human roles and more about augmenting them.
who should attend
Business leaders & data practitioners from leading hospital systems, pharmaceutical & biotech companies, insurers, and CROs & research centers who are seeking to improve their business using AI. A limited number of spots will be reserved for active VCs, best in class service providers, and startups.
| Common Business Roles:
– CMO, COO, CEO – VP, SVP, EVP – Head of [X], Senior Director, ED |
Common Technical Roles:
– CTO, CAO, CDO, CIO – Data Scientist, Data Architect, ML Engineer – Tech Lead, Head of IT |
Decision-makers from leading healthcare companies who are seeking to improve their business using AI. A limited number of spots will be reserved for active VCs and best in class service providers and startups.
| Common Business Roles:
– CMO, COO, CEO – VP, SVP, EVP – Head of [X], Senior Director, ED |
|
| Common Technical Roles: | |
| – CTO, CAO, CDO, CIO
– Data Scientist, Data Architect, ML Engineer – Tech Lead |
|
SPEAKERS
Pictured below are the confirmed speakers for Ai4 Healthcare. Please note that this lineup is subject to change. If a last-minute cancellation does occur, we always do our best to find a suitable replacement. Refunds cannot be granted for dropped speakers. Click here to see abstracts, talk times, and locations on the full agenda.
DAY 1 SPEAKERS: DATA SUMMIT
Hod Lipson
Talk Title: Opening Keynote: The Six Waves of AI
Peter Fleischut, M.D.
Panel Title: Hospital-Wide AI Transformation
Melanie Kambadur, Ph.D.
Talk Title: Finding Structure in Noisy Claims and Member Messages
Dmitriy Gorenshteyn, Ph.D.
Talk Title: Building Clinically Relevant Models
Sean Lane
Panel Title: Hospital-Wide AI Transformation
David Tsay, M.D., Ph.D.
Panel Title: Hospital-Wide AI Transformation
John Fahrenbach
Talk Title: Augmenting Hospital Operations with AI
Mark Kanner, Ph.D.
Talk Title: How AI Can Help in Making Our Healthcare System More Efficient
Tawnya Infantino
Talk Title: Leveraging AI & ML To Empower and Engage Your Patients
Robbie Freeman
Panel Title: Hospital-Wide AI Transformation
Yindalon Aphinyanaphongs, M.D., Ph.D.
Talk Title: Principles for Translating Predictive Models Into Clinical Practice
Nikhil Krishnan
Talk Title: What The Tech Giants Are Doing In Healthcare
Nick Patyon
Talk Title: Lessons for an Enterprise Approach to Modeling at Scale
Jeff Goldsmith
Talk Title: Functional Data Methods for Wearable Device Data
Sasha Gutfraind, Ph.D.
Talk Title: Saving Patient Ryan 2.0: Machine Learning-Driven Identification, Prediction and Prevention of High Cost Patients
Sandy Balkin
Talk Title: Demonstrating Commercial RWE Value Through A Proof of Concept Machine Learning Predictive Segmentation Model
Sara Aby, Ph.d.
Talk Title: AI in Healthcare Marketing: A New Data Frontier
Kenrick Cato, RN, Ph.D.
Talk Title: Predictive Analytics Leveraging Healthcare Process Models of Clinical Concern (HPM-CC): The CONCERN Study
Sarah Collins, RN, Ph.D.
Talk Title: Predictive Analytics Leveraging Healthcare Process Models of Clinical Concern (HPM-CC): The CONCERN Study
Sheetal Sood
Talk Title: Automating Information Governance: Is AI The Key?
DAY 2 SPEAKERS: BUSINESS SUMMIT
Andy Merrill
Talk Title: Opening Keynote: Adopting AI Capabilities? Lessons From the Front Lines
Madhuri Sebastian
Talk Title: AI in Healthcare Imaging – Opportunities and Challenges
Rajeev Ronanki
Panel Title: Population Health: A Data-Driven Model for Patient Care
Jodie Gillon
Panel Title: Leveraging AI For Diagnosis
Vish Anantraman
Panel Title: Population Health: A Data-Driven Model For Patient Care
Michael Recht
Talk Title: AI in Radiology: Threat or Opportunity?
Emmanuel Fombu
Talk Title: The Future of Healthcare: Humans and Machines Partnering for Better Outcomes
Viraj Patwardhan
Talk Title: Smart Patient Room Concierge
Jesse Bridgewater
Panel Title: Population Health: A Data-Driven Model For Patient Care
Esteban Rubens
Talk Title: Infrastructure Matters: Bringing Deep Learning to Enterprise Imaging Clinical Practice
Susan Abedi
Panel Title: Leveraging AI For Diagnosis
Michael Frank
Talk Title: Machine Learning to Boost R&D Productivity in Pharma
Michael Berger
Talk Title: Decision-Centricity: Operationalizing Analytics and Data Science in Health Systems
Sanji Fernando
Panel Title: Population Health: A Data-Driven Model for Patient Care
Bülent Kiziltan Ph.D.
Talk Title: Creating Value With AI
Christopher Lehmuth
Talk Title: Breaking the Cycle: Moving From Issue Management to Prevention with Predictive Analytics
Len Usvyat, Ph.D.
Talk Title: Applying Data Science to Understand and Improve Quality of Life in Patients with Chronic Disease
Isabelle Lousada
Panel Title: Leveraging AI For Diagnosis
Michelle Stansbury
Talk Title: Creating A Digital Workforce: Implementing Intelligent Automation in Hospital Operations
Christopher Steel
Talk Title: Building Business Value: Using AI and Machine Learning to Reduce Costs, Increase Revenue, and Drive Competitive Differentiation
Vishaal Virani, M.D.
Talk Title: How Chatbots Will Positively Transform Care for Patients
Erik Pupo
Panel Title: Population Health: A Data-Driven Model for Patient Care
Adam Jenkins
Talk Title: Real World Issues During Implementing AI In The Healthcare System
Dave Bradley
Talk Title: AI for Health Enterprise Management: Now is the Time to Begin the Journey
Parsa Mirhaji MD, Ph.D.
Panel Title: Patient-Centered Analytical Learning Machine: An Enterprise Vision for Digital Transformation and Large Scale Adoption of AI and Machine Learning in Healthcare and Life Sciences
Pamila Brar
Panel Title: Transforming Prevention through AI
Agenda Snapshot
See below for a snapshot of the agenda. Click here to see abstracts, talk times, and locations on the full agenda.
DATA SUMMIT
Monday, November 12th. Day one is geared towards technical job roles: the builders, engineers, and architects. Technical leaders at major hospital systems, pharmaceutical companies, and insurers will take a deep dive into the specifics of their machine learning models. Expect to hear examples from industry about…
| – Dealing With Legacy Systems
– Unstructured Data – Dealing with Biased Data Sets – Cloud v Local Environment – Data Privacy and Security |
– Scaling to Big Data
– Productionizing Your Model – Model Interpretability – Deep & Reinforcement Learning – And More! |
DATA SUMMIT
Monday, November 12th. Day one is geared towards technical job roles: the builders, engineers, and architects. Technical leaders at major hospital systems, pharmaceutical companies, and insurers will take a deep dive into the specifics of their machine learning models. Expect to hear examples from industry about…
| – Dealing With Legacy Systems
– Bringing Structure to Unstructured Data – Dealing with Biased Data Sets – Cloud v Local Environments – Data Privacy and Security – Scaling to Big Data – Productionizing Your Model – Model Interpretability – Implementing Deep Learning & Reinforcement Learning – And More! |
BUSINESS SUMMIT
Tuesday, November 13th. Day two is intended for business-focused and hybrid job roles: the executives, product leads, and heads of innovation. Here, we will focus on the business impact of top AI use cases in the healthcare industry including AI for patient care, medical imaging & diagnostics, management, and research & development. These AI applications include…
| – Diagnosis & Prescription
– Chatbots – Case Prioritization – Imaging Insights – Medical Devices |
– Pricing & Risk
– Patient Access – Electronic Health Records – Population Health – Drug Discovery |
BUSINESS SUMMIT
Tuesday, November 13th. Day two is intended for business-focused and hybrid job roles: the executives, product leads, and heads of innovation. Here, we will focus on the business impact of top AI use cases in the healthcare industry including AI for patient care, medical imaging & diagnostics, management, and research & development. These AI applications include…
– Automated Diagnosis & Prescription
– Chatbots
– Real Time Case Prioritization
– Medical Imaging Insights
– Smart Medical Devices
– Pricing & Risk
– Patient Access
– Smart Electronic Health Records
– Device/Drug Comparative Analytics
– Drug Discovery
NOV. 12TH: DATA SUMMIT
8:00AM Registration, Morning Networking & Coffee
9:00AM Morning Content Sessions
11:00AM Morning Break & Networking
11:30AM Morning Content Sessions
12:30PM Lunch Sponsored by Livongo
1:30PM Afternoon Content Sessions
4:00PM Afternoon Break & Networking
4:30PM Afternoon Content Sessions
6:00PM Evening Networking
7:00PM Conference Hall Closes
7:30PM AI After Dark Event: Data For Dinner
NOV. 13TH: BUSINESS SUMMIT
8:00AM Registration, Morning Networking & Coffee
9:00AM Morning Content Sessions
11:00AM Morning Break & Networking
11:30AM Morning Content Sessions
12:30PM Lunch Sponsored by Livongo
1:30PM Afternoon Content Sessions
4:00PM Afternoon Break & Networking
4:30PM Afternoon Content Sessions
6:00PM Evening Networking
7:00PM Conference Hall Closes
8:00PM AI After Dark Event: Ai4 Official Bar Crawl
NOV. 12TH: DATA SUMMIT
8:00AM Registration, Morning Networking & Coffee
9:00AM Morning Content Sessions
11:00AM Morning Break & Networking
11:30AM Morning Content Sessions
12:30PM Lunch Sponsored by Livongo
1:30PM Afternoon Content Sessions
4:00PM Afternoon Break & Networking
4:30PM Afternoon Content Sessions
6:00PM Evening Networking
7:00PM Conference Hall Closes
7:30PM AI After Dark Event: Data For Dinner
NOV. 13TH: BUSINESS SUMMIT
8:00AM Registration, Morning Networking & Coffee
9:00AM Morning Content Sessions
11:00AM Morning Break & Networking
11:30AM Morning Content Sessions
12:30PM Lunch Sponsored by Livongo
1:30PM Afternoon Content Sessions
4:00PM Afternoon Break & Networking
4:30PM Afternoon Content Sessions
6:00PM Evening Networking
7:00PM Conference Hall Closes
8:00PM AI After Dark Event: Ai4 Official Bar Crawl
DATA FOR DINNER
Monday, Nov 12, 7:30-9:30PM
Join us for curated 8 person group dinners after Day 1 of the conference ends! We’ve made reservations at a handful of New York favorites for you to choose from. Experience great food and continue to build lasting relationships with other attendees.
*Please note that the cost of dinner is not included in your conference pass. Spaces are available on a first-come, first-served basis. Only registered ticket holders will have the opportunity to attend.
Ai4 OFFICIAL BAR CRAWL
Tuesday, Nov 13, 8:00-11:00PM
Can you think of a better way to make connections? Neither could we! After the conference ends on Tuesday, you’ll have a chance to recharge and grab some food before heading out for a night in New York! We’ve set up an official Ai4 Healthcare bar crawl route. Registered attendees will be provided the bar crawl details.
Venue
Convene
117 W 46th Street, New York, NY 10036
This brand new venue is located conveniently in Midtown West, featuring close proximity to major transportation hubs, Times Square, and Rockefeller Center.
Accommodations
Please note that hotel costs are not included with your conference pass. You will need to book your hotel room separately for an additional price.
See below for two convenient hotel options. Our room block at each hotel is currently full, but the hotels still have availability.
Hotels
Please note that hotel costs are not included with your conference pass. You will need to book your hotel room separately for an additional price.
See below for two convenient hotel options. Our room block at each hotel is currently full, but the hotels still have availability.
Cambria Hotel New York – Times Square
30 West 46th Street, New York, NY 10036
Click here for information and directions.
Or call (212) 704-9700 to book.
Holiday Inn New York City – Times Square
585 8th Avenue, New York, NY 10018
Click here for information and directions.
Or call (212) 473-6200 to book.
