Future Pulse Cardiology
Trial Statistics, Trial Design and AI with Dr. C Michael Gibson
Feb 29, 2024
Dr. C Michael Gibson, CEO of Bain and Profuse Research Institutes and a Harvard Medical School professor, joins the discussion on medical statistics and AI in clinical trials. He and Dr. Nero dive into the evolution of statistical methods, contrasting traditional models with emerging techniques like win ratios. They explore the critical role of high-quality data in medical decisions and the challenges of evaluating treatments for atrial fibrillation. Their conversation highlights the importance of addressing biases in clinical trials to improve patient outcomes.
34:28
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Quick takeaways
- The majority of clinical decisions rely on observational data, highlighting the importance of rigorous methodologies for accurate evidence-based practice.
- While AI has potential in healthcare analytics, its current 'black box' nature raises concerns about transparency and the accuracy of predictions.
Deep dives
Understanding Medical Statistics in Clinical Decision-Making
Medical statistics play a crucial role in clinical decision-making, though many clinicians find the topic tedious. It is noted that only about 15 to 20 percent of the knowledge utilized in practice stems from robust clinical trials, with the majority reliant on observational data, which can be misleading. For example, during the COVID pandemic, many therapies appeared promising based on observational data but failed in randomized trials. This highlights the necessity of rigorous methodologies to ensure that clinical decisions are grounded in solid evidence.
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