

Medically Trained AI for Insights Generation and Communication
Aug 29, 2023
Tom Hughes, CEO of Virtual Science AI, shares insights on the transformative potential of generative AI in medical affairs. He discusses how these technologies can streamline data synthesis, enabling teams to derive actionable insights more efficiently. The conversation highlights the importance of overcoming data silos and responsibly adopting AI for compliant medical applications. Additionally, they underline the critical role of human oversight in communicating insights, ensuring quality while enhancing interactions with leadership and clients.
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Generative AI Explained
- Generative AI works like a game, predicting the next word in a sequence.
- It's trained on datasets using techniques like reinforced, supervised, and unsupervised learning.
The Generative Aspect
- The "generative" aspect of AI makes it predict the next word based on previous content.
- This self-learning allows it to read and learn from publicly available information.
ChatGPT and Medical Affairs
- Avoid using public generative AIs like ChatGPT for medical affairs due to confidentiality risks.
- Use pharma-compliant AI models designed for client-specific data and insights.