This episode of Talking AI features an in-depth discussion with Patrick Leung, CTO and co-founder of Faro Health.

The conversation explores the slow and expensive process of bringing new drugs to market through clinical trials and how AI can revolutionize this area.

Patrick explains the concept of Eroom's Law and the increasing cost and complexity of clinical trials.

He highlights the application of AI in clinical writing, enabling the automation of complex clinical documentation.

The discussion also touches on AI's role in providing better insights, improving patient care, and the broader implications of AI in healthcare.

The episode concludes with a look at the hype and reality of AI capabilities, emphasizing the need for organizations and individuals to embrace and adapt to AI innovations.

Key Moments:

00:46 Challenges in Clinical Trials
02:31 AI's Role in Clinical Documentation
04:37 Ensuring Accuracy and Quality with AI
07:40 The Future of AI in Clinical Trials
12:58 Faro Health's Journey and Innovations
18:25 Adapting to Advancements in AI
20:14 Innovating with New AI Models
21:12 Stanford AI Report Insights
22:27 Healthcare Innovations and AI
25:42 The Hype and Reality of AI in Healthcare
28:05 The AI Hype Curve
30:46 The Future of AI and Human Potential
34:54 Encouragement for Aspiring Innovators

Key Links:

Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

AI in Healthcare: Accelerating Clinical Trials with Patrick Leung