The Data Exchange with Ben Lorica 2024 Generative AI in Healthcare Survey Results
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Nov 28, 2024 David Talby, CTO of John Snow Labs and an expert in healthcare AI, dives into the results of the 2024 Generative AI in Healthcare Survey. He shares insights on how healthcare organizations are budgeting for generative AI and the increasing use of large language models. The discussion highlights the need for real patient data in validating AI models and navigating privacy concerns. Talby emphasizes the delicate balance between general-purpose and specialized AI, reflecting on the transformative potential and ethical challenges in the healthcare sector.
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Generative AI Budgets Soaring
- Generative AI budgets are increasing rapidly in healthcare, mirroring broader tech trends.
- One-third of technical leaders project doubling their generative AI budgets from 2023 to 2024.
Model Preferences in Healthcare
- Healthcare organizations favor healthcare-specific and open-source LLMs due to privacy concerns.
- General-purpose models often lack the accuracy needed for specialized healthcare tasks.
Using Proprietary LLMs in Healthcare
- Use proprietary LLMs initially with synthetic data for experimentation and learning.
- Prioritize deploying models behind a firewall for real-world applications due to cost and security.