AI-based diagnostics tools for early screening have a great potential to promote prevention, prompt early initiation of treatment and improve outcomes. However, we have not seen much data showing real-world implementation of these tools yet. In this masterclass, Zachary Tan (Advisor at CancerAid; Venture Creation Partner at Aegis Ventures; more info here) & Lisa Zhu (Research Fellow of the Center for Eye Research Australia) will walk us through the key learnings from their latest article in Scientific Reports (Nature) on real-world AI-based screening for diabetic retinopathy in Australia. This early-stage study is one of the first globally to describe the real-world implementation of AI in healthcare. In this session led by Zachary & Lisa we will deep dive into:
What can AI do? How do AI-based screening programs compare to reference standards? Are there other capabilities which are only enabled by AI?
Challenges in applying AI in the real-world of these tools into hospital systems, physicians workflows and referral pathways. What else is needed to build clinicians’ trust on these systems?
How do we address these challenges? Methods to improve real-world uptake and to engage clinicians, patients and organizational stakeholders with AI-based screening tools.
AI’s future: How do we best use these tools in real-world settings, beyond tests and research studies. How do we see the field developing and growing?