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The AI in Business Podcast

Deploying AI in Healthcare and Life Sciences with Dr. Milind Sawant of Siemens Healthineers

May 28, 2024
16:45
Snipd AI
Dr. Milind Sawant discusses AI deployment challenges in healthcare, emphasizing data quality and expert feedback. He explores the impact of AI on diagnostics workflows and the future of these industries. The episode highlights pitfalls in AI implementation, the importance of expertise and infrastructure, and leveraging Bayesian statistics in medical diagnostics.
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Podcast summary created with Snipd AI

Quick takeaways

  • Quality data and clinical expertise are crucial for successful AI implementation in healthcare.
  • Starting with identifying the business problem before data selection is key to effective AI deployment in organizations.

Deep dives

Challenges of Developing AI in Organizations

The top impediments to developing and deploying AI in organizations include the need for high-quality data and individuals with clinical expertise to validate and annotate the data. Dr. Suwant highlights the importance of data quality over quantity, as training algorithms with noisy data can lead to inaccurate results. By emphasizing the critical role of clinical background in training machine learning models, she underscores the significance of ensuring data accuracy and validation.

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