DeepSummary
The episode explores the topic of using artificial intelligence (AI) for medical diagnoses, particularly in breast cancer screenings and mammograms. Meredith Broussard, an AI researcher and professor at NYU, shares her personal experience with an AI-assisted mammogram and her concerns about the accuracy and transparency of these AI systems.
Broussard explains that while AI technologies for cancer detection have been in development since the 1990s, their effectiveness remains questionable. She highlights the fragility of these systems, as their accuracy can vary significantly across different hospitals or imaging facilities, likely due to subtle differences in imaging techniques or data labeling.
Additionally, Broussard raises ethical concerns about the lack of informed consent and the potential for bias or errors in AI-based diagnoses. She emphasizes the importance of transparency and the need for healthcare providers to openly communicate the involvement of AI in diagnostic procedures.
Key Episodes Takeaways
- AI systems for medical diagnoses, such as breast cancer screenings, have been in development since the 1990s but their effectiveness remains questionable.
- The accuracy of AI systems for medical diagnoses can vary significantly across different hospitals or imaging facilities due to subtle differences in imaging techniques or data labeling.
- There are ethical concerns surrounding the lack of informed consent and the potential for bias or errors in AI-based medical diagnoses.
- AI systems are currently integrated as an additional step in the diagnostic workflow for doctors, with doctors reviewing the AI's evaluation after providing their own diagnosis.
- Different medical specialties have varying levels of acceptance and trust in AI systems for diagnoses, with some specialties finding them more useful than others.
- Transparency and open communication about the involvement of AI in diagnostic procedures are important for ensuring patient understanding and trust.
- The fragility and lack of generalizability of AI systems can lead to varying levels of accuracy when applied to different data sets or environments.
- There is a need for ongoing research and evaluation of the accuracy and reliability of AI systems used in medical diagnoses to ensure patient safety and ethical practices.
Top Episodes Quotes
- “I was working with a natural holistic nutritionist and never really thought about the.“ by Meredith Broussard
- “I was spending like all my tips.“ by Lily Dramali
- “I was definitely spending like $200 a week.“ by Meredith Broussard
- “The doctors get the AI evaluation after they have entered into the computer system their own evaluation. So the AI currently is an extra step for the doctors to go through.“ by Meredith Broussard
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Episode Information
Marketplace Tech
Marketplace
2/20/24
As consumers, we’ve all been subjected to the “upsell,” or pressure to pay a little more for a product that’s slightly better. It’s one thing if you’re buying, say, a car or a piece of clothing. The ethical questions get a lot more complicated in health care. Some providers have started integrating artificial intelligence in diagnostic procedures, including screenings for breast cancer. The tools may be available for an additional cost, and questions about their accuracy have been raised. Marketplace’s Lily Jamali spoke with Meredith Broussard, a journalism professor at New York University, about integrating AI into mammograms and her personal experience grappling with the tech.