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Recent findings from the 2024 World Conference on Lung Cancer in San Diego showcase the transformative potential of artificial intelligence (AI) in healthcare. AI technologies can detect pulmonary nodules that may develop into early-stage lung cancers, often before symptoms appear. However, the traditional 'Black Box' nature of AI systems poses challenges for their implementation in the highly regulated healthcare sector.
The emergence of Agentic AI, or multi-agent AI, offers a solution by promoting transparency and traceability in AI decision-making processes. This technology allows autonomous agents to collaborate, log interactions, and improve their outputs, thereby enhancing efficiency in healthcare workflows. By automating complex tasks, Agentic AI not only alleviates clinician burnout but also accelerates medical device development and drug design.
• AI can detect early-stage lung cancers before symptoms appear.
• Agentic AI promotes transparency and efficiency in healthcare workflows.
Agentic AI enhances healthcare by automating complex processes while maintaining compliance.
The Black Box nature of traditional AI raises concerns in regulated industries like healthcare.
This method is crucial for speeding up the lengthy drug development process.
Endava's focus on AI in healthcare is highlighted through its exploration of Agentic AI's potential.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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