The A-Eye visionary

Dr. Michael Abramoff, legendary ophthalmologist, computer scientist and entrepreneur, talks exclusively about his remarkable journey, the future of AI and the pain of being called ‘The Retinator’

8 minute read

Rocket Man!

Rocket scientist-turned-neurosurgeon Dr. Eric Eskioglu, Chief Medical and Scientific Officer for Novant Health, talks about his stellar journey, the power of AI

9 minute read

Global Summits

GLOBAL SUMMIT

January 2022

Our flagship meeting returns, live and in-person, in 2022. Featuring high-level thought leadership, exceptional networking opportunities and curated content focused on the business of AI.

A global gathering of over 600 healthcare leaders and senior executives, this is an unrivalled event affording you the chance to align with key stakeholders and shape the global AI healthcare agenda.

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Webinar

AI Economics

ON-DEMAND

Join us to learn about the practical considerations of purchasing, using, and evaluating AI algorithms in clinical practice.

We will hear our expert panelists from MD Anderson and Emory University discuss metrics surrounding AI usage in clinical practice and how to determine whether the cost is worth it and whether reimbursement for its usage is possible.

We will also discuss the benefits and limitations of research partnerships in the usage of AI algorithms and what academic medical centers can offer for patients.

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Webinar

Data rights in the age of machine learning

In this session, we will discuss ideas ranging from the most restrictive to least restrictive, to enabling a new age of clinical discovery.

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Webinar

Basics of successful AI adoption in Radiology workflows

Hear key insights from a panel of innovative healthcare leaders on how to successfully orchestrate AI into radiology workflows, create efficiencies across the workflow, and save radiologist’s time.

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Webinar

AI Education: How can I learn about artificial intelligence?

Three academic experts discuss how they are learning about AI, how they are supporting medical students, and what academic institutions should be doing to teach radiology residents about AI.

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