Did you know traditional breast cancer screenings can miss early signs of the disease?
In this episode, we get an exclusive look into MedCognetics, a company using AI to revolutionize breast cancer detection. Matt Watson chats with guest Tim Cogan, MedCognetics co-founder & CTO, about how AI can:
- Catch cancer earlier: Imagine AI spotting subtle abnormalities that might escape the human eye, leading to earlier intervention and potentially better outcomes.
- Free up doctors' time: AI could become a doctor's partner, prioritizing patients and allowing for more focused care.
- Improve accuracy: AI algorithms trained on vast datasets might produce more consistent and accurate diagnoses than traditional methods.
But developing AI for healthcare isn't without its challenges. We'll also discuss:
- The road to FDA approval: The rigorous process of getting AI-powered medical tools cleared for use ensures patient safety and efficacy.
- Building unbiased AI: Ensuring diverse datasets and addressing potential biases in AI development is crucial for fair and accurate diagnoses.
- The changing role of the CTO: Tim Cogan, a seasoned software developer, shares how his perspective on technology has shifted to focus on business goals and, ultimately, improving patient care.
Join our host, Matt Watson, a tech leader with over 20 years of experience, and Tim Cogan as they explore the exciting potential of AI in breast cancer screening. This episode is a must-listen for anyone interested in the future of healthcare, medical technology, and the fight against cancer.
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This episode is sponsored by Full Scale:
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Learn more about Tim Cogan:
https://www.linkedin.com/in/timothy-cogan
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Highlighted Discussion Points
- Using AI to improve breast cancer screening process. 0:32
- Developing AI software for breast cancer detection. 4:37
- Developing AI for medical image analysis, challenges, and potential impact on healthcare. 9:47
- AI in healthcare, prioritizing patient care, and CTO's role in software development. 16:17
- Shifting mindset from technical expertise to problem-solving and business outcomes in software development. 20:51
- FDA approval process for AI-powered cancer diagnosis tool. 27:34
- AI in medical imaging, the potential for accuracy improvement. 31:50
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